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ML_Heart_Failure_Prediction.ipynb
9705 lines (9705 with data), 1.5 MB
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"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.preprocessing import StandardScaler\n",
"\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.svm import SVC\n",
"from sklearn.neighbors import KNeighborsClassifier\n",
"from sklearn.tree import DecisionTreeClassifier\n",
"from sklearn.naive_bayes import GaussianNB\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"\n",
"from sklearn.metrics import accuracy_score"
]
},
{
"cell_type": "markdown",
"source": [
"**Importing Dataset and Data Exploration**"
],
"metadata": {
"id": "-oZK10cj-BIR"
}
},
{
"cell_type": "code",
"source": [
"data = pd.read_csv(\"heart_failure_clinical_records_dataset.csv\")"
],
"metadata": {
"id": "q8rURZS29oZw"
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"execution_count": 6,
"outputs": []
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"text/plain": [
"pandas.core.frame.DataFrame"
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" var(--colab-secondary-surface-color); padding: 8px 12px;\n",
" border-bottom: 1px solid var(--colab-border-color);\"><b>pandas.core.frame.DataFrame</b><br/>def __init__(data=None, index: Axes | None=None, columns: Axes | None=None, dtype: Dtype | None=None, copy: bool | None=None) -> None</pre><pre class=\"function-repr-contents function-repr-contents-collapsed\" style=\"\"><a class=\"filepath\" style=\"display:none\" href=\"#\">/usr/local/lib/python3.11/dist-packages/pandas/core/frame.py</a>Two-dimensional, size-mutable, potentially heterogeneous tabular data.\n",
"\n",
"Data structure also contains labeled axes (rows and columns).\n",
"Arithmetic operations align on both row and column labels. Can be\n",
"thought of as a dict-like container for Series objects. The primary\n",
"pandas data structure.\n",
"\n",
"Parameters\n",
"----------\n",
"data : ndarray (structured or homogeneous), Iterable, dict, or DataFrame\n",
" Dict can contain Series, arrays, constants, dataclass or list-like objects. If\n",
" data is a dict, column order follows insertion-order. If a dict contains Series\n",
" which have an index defined, it is aligned by its index. This alignment also\n",
" occurs if data is a Series or a DataFrame itself. Alignment is done on\n",
" Series/DataFrame inputs.\n",
"\n",
" If data is a list of dicts, column order follows insertion-order.\n",
"\n",
"index : Index or array-like\n",
" Index to use for resulting frame. Will default to RangeIndex if\n",
" no indexing information part of input data and no index provided.\n",
"columns : Index or array-like\n",
" Column labels to use for resulting frame when data does not have them,\n",
" defaulting to RangeIndex(0, 1, 2, ..., n). If data contains column labels,\n",
" will perform column selection instead.\n",
"dtype : dtype, default None\n",
" Data type to force. Only a single dtype is allowed. If None, infer.\n",
"copy : bool or None, default None\n",
" Copy data from inputs.\n",
" For dict data, the default of None behaves like ``copy=True``. For DataFrame\n",
" or 2d ndarray input, the default of None behaves like ``copy=False``.\n",
" If data is a dict containing one or more Series (possibly of different dtypes),\n",
" ``copy=False`` will ensure that these inputs are not copied.\n",
"\n",
" .. versionchanged:: 1.3.0\n",
"\n",
"See Also\n",
"--------\n",
"DataFrame.from_records : Constructor from tuples, also record arrays.\n",
"DataFrame.from_dict : From dicts of Series, arrays, or dicts.\n",
"read_csv : Read a comma-separated values (csv) file into DataFrame.\n",
"read_table : Read general delimited file into DataFrame.\n",
"read_clipboard : Read text from clipboard into DataFrame.\n",
"\n",
"Notes\n",
"-----\n",
"Please reference the :ref:`User Guide <basics.dataframe>` for more information.\n",
"\n",
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"--------\n",
"Constructing DataFrame from a dictionary.\n",
"\n",
">>> d = {'col1': [1, 2], 'col2': [3, 4]}\n",
">>> df = pd.DataFrame(data=d)\n",
">>> df\n",
" col1 col2\n",
"0 1 3\n",
"1 2 4\n",
"\n",
"Notice that the inferred dtype is int64.\n",
"\n",
">>> df.dtypes\n",
"col1 int64\n",
"col2 int64\n",
"dtype: object\n",
"\n",
"To enforce a single dtype:\n",
"\n",
">>> df = pd.DataFrame(data=d, dtype=np.int8)\n",
">>> df.dtypes\n",
"col1 int8\n",
"col2 int8\n",
"dtype: object\n",
"\n",
"Constructing DataFrame from a dictionary including Series:\n",
"\n",
">>> d = {'col1': [0, 1, 2, 3], 'col2': pd.Series([2, 3], index=[2, 3])}\n",
">>> pd.DataFrame(data=d, index=[0, 1, 2, 3])\n",
" col1 col2\n",
"0 0 NaN\n",
"1 1 NaN\n",
"2 2 2.0\n",
"3 3 3.0\n",
"\n",
"Constructing DataFrame from numpy ndarray:\n",
"\n",
">>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),\n",
"... columns=['a', 'b', 'c'])\n",
">>> df2\n",
" a b c\n",
"0 1 2 3\n",
"1 4 5 6\n",
"2 7 8 9\n",
"\n",
"Constructing DataFrame from a numpy ndarray that has labeled columns:\n",
"\n",
">>> data = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)],\n",
"... dtype=[("a", "i4"), ("b", "i4"), ("c", "i4")])\n",
">>> df3 = pd.DataFrame(data, columns=['c', 'a'])\n",
"...\n",
">>> df3\n",
" c a\n",
"0 3 1\n",
"1 6 4\n",
"2 9 7\n",
"\n",
"Constructing DataFrame from dataclass:\n",
"\n",
">>> from dataclasses import make_dataclass\n",
">>> Point = make_dataclass("Point", [("x", int), ("y", int)])\n",
">>> pd.DataFrame([Point(0, 0), Point(0, 3), Point(2, 3)])\n",
" x y\n",
"0 0 0\n",
"1 0 3\n",
"2 2 3\n",
"\n",
"Constructing DataFrame from Series/DataFrame:\n",
"\n",
">>> ser = pd.Series([1, 2, 3], index=["a", "b", "c"])\n",
">>> df = pd.DataFrame(data=ser, index=["a", "c"])\n",
">>> df\n",
" 0\n",
"a 1\n",
"c 3\n",
"\n",
">>> df1 = pd.DataFrame([1, 2, 3], index=["a", "b", "c"], columns=["x"])\n",
">>> df2 = pd.DataFrame(data=df1, index=["a", "c"])\n",
">>> df2\n",
" x\n",
"a 1\n",
"c 3</pre>\n",
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"(299, 13)"
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"**Note:** We have 299 Rows and 13 C0lumns"
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" age anaemia creatinine_phosphokinase diabetes ejection_fraction \\\n",
"0 75.0 0 582 0 20 \n",
"1 55.0 0 7861 0 38 \n",
"2 65.0 0 146 0 20 \n",
"3 50.0 1 111 0 20 \n",
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"\n",
" high_blood_pressure platelets serum_creatinine serum_sodium sex \\\n",
"0 1 265000.00 1.9 130 1 \n",
"1 0 263358.03 1.1 136 1 \n",
"2 0 162000.00 1.3 129 1 \n",
"3 0 210000.00 1.9 137 1 \n",
"4 0 327000.00 2.7 116 0 \n",
"\n",
" smoking time DEATH_EVENT \n",
"0 0 4 1 \n",
"1 0 6 1 \n",
"2 1 7 1 \n",
"3 0 7 1 \n",
"4 0 8 1 "
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" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-1acb2903-b0f9-43cd-9b91-d8ee5f488a9c button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"variable_name": "data",
"summary": "{\n \"name\": \"data\",\n \"rows\": 299,\n \"fields\": [\n {\n \"column\": \"age\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 11.894809074044478,\n \"min\": 40.0,\n \"max\": 95.0,\n \"num_unique_values\": 47,\n \"samples\": [\n 79.0,\n 40.0,\n 67.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"anaemia\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"creatinine_phosphokinase\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 970,\n \"min\": 23,\n \"max\": 7861,\n \"num_unique_values\": 208,\n \"samples\": [\n 86,\n 379\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"diabetes\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ejection_fraction\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 11,\n \"min\": 14,\n \"max\": 80,\n \"num_unique_values\": 17,\n \"samples\": [\n 20,\n 38\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"high_blood_pressure\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 0,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"platelets\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 97804.23686859828,\n \"min\": 25100.0,\n \"max\": 850000.0,\n \"num_unique_values\": 176,\n \"samples\": [\n 297000.0,\n 255000.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"serum_creatinine\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.034510064089853,\n \"min\": 0.5,\n \"max\": 9.4,\n \"num_unique_values\": 40,\n \"samples\": [\n 4.4,\n 3.5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"serum_sodium\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4,\n \"min\": 113,\n \"max\": 148,\n \"num_unique_values\": 27,\n \"samples\": [\n 133,\n 134\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sex\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 0,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"smoking\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 77,\n \"min\": 4,\n \"max\": 285,\n \"num_unique_values\": 148,\n \"samples\": [\n 215,\n 79\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"DEATH_EVENT\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 0,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
}
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"source": [
"#See the whole dataset\n",
"\n",
"pd.set_option('display.max_rows', 300)\n",
"\n",
"data"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "VqNbUkMuHHT6",
"outputId": "15608992-d152-498a-f0e2-eca5b3842560"
},
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" age anaemia creatinine_phosphokinase diabetes ejection_fraction \\\n",
"0 75.000 0 582 0 20 \n",
"1 55.000 0 7861 0 38 \n",
"2 65.000 0 146 0 20 \n",
"3 50.000 1 111 0 20 \n",
"4 65.000 1 160 1 20 \n",
"5 90.000 1 47 0 40 \n",
"6 75.000 1 246 0 15 \n",
"7 60.000 1 315 1 60 \n",
"8 65.000 0 157 0 65 \n",
"9 80.000 1 123 0 35 \n",
"10 75.000 1 81 0 38 \n",
"11 62.000 0 231 0 25 \n",
"12 45.000 1 981 0 30 \n",
"13 50.000 1 168 0 38 \n",
"14 49.000 1 80 0 30 \n",
"15 82.000 1 379 0 50 \n",
"16 87.000 1 149 0 38 \n",
"17 45.000 0 582 0 14 \n",
"18 70.000 1 125 0 25 \n",
"19 48.000 1 582 1 55 \n",
"20 65.000 1 52 0 25 \n",
"21 65.000 1 128 1 30 \n",
"22 68.000 1 220 0 35 \n",
"23 53.000 0 63 1 60 \n",
"24 75.000 0 582 1 30 \n",
"25 80.000 0 148 1 38 \n",
"26 95.000 1 112 0 40 \n",
"27 70.000 0 122 1 45 \n",
"28 58.000 1 60 0 38 \n",
"29 82.000 0 70 1 30 \n",
"30 94.000 0 582 1 38 \n",
"31 85.000 0 23 0 45 \n",
"32 50.000 1 249 1 35 \n",
"33 50.000 1 159 1 30 \n",
"34 65.000 0 94 1 50 \n",
"35 69.000 0 582 1 35 \n",
"36 90.000 1 60 1 50 \n",
"37 82.000 1 855 1 50 \n",
"38 60.000 0 2656 1 30 \n",
"39 60.000 0 235 1 38 \n",
"40 70.000 0 582 0 20 \n",
"41 50.000 0 124 1 30 \n",
"42 70.000 0 571 1 45 \n",
"43 72.000 0 127 1 50 \n",
"44 60.000 1 588 1 60 \n",
"45 50.000 0 582 1 38 \n",
"46 51.000 0 1380 0 25 \n",
"47 60.000 0 582 1 38 \n",
"48 80.000 1 553 0 20 \n",
"49 57.000 1 129 0 30 \n",
"50 68.000 1 577 0 25 \n",
"51 53.000 1 91 0 20 \n",
"52 60.000 0 3964 1 62 \n",
"53 70.000 1 69 1 50 \n",
"54 60.000 1 260 1 38 \n",
"55 95.000 1 371 0 30 \n",
"56 70.000 1 75 0 35 \n",
"57 60.000 1 607 0 40 \n",
"58 49.000 0 789 0 20 \n",
"59 72.000 0 364 1 20 \n",
"60 45.000 0 7702 1 25 \n",
"61 50.000 0 318 0 40 \n",
"62 55.000 0 109 0 35 \n",
"63 45.000 0 582 0 35 \n",
"64 45.000 0 582 0 80 \n",
"65 60.000 0 68 0 20 \n",
"66 42.000 1 250 1 15 \n",
"67 72.000 1 110 0 25 \n",
"68 70.000 0 161 0 25 \n",
"69 65.000 0 113 1 25 \n",
"70 41.000 0 148 0 40 \n",
"71 58.000 0 582 1 35 \n",
"72 85.000 0 5882 0 35 \n",
"73 65.000 0 224 1 50 \n",
"74 69.000 0 582 0 20 \n",
"75 60.000 1 47 0 20 \n",
"76 70.000 0 92 0 60 \n",
"77 42.000 0 102 1 40 \n",
"78 75.000 1 203 1 38 \n",
"79 55.000 0 336 0 45 \n",
"80 70.000 0 69 0 40 \n",
"81 67.000 0 582 0 50 \n",
"82 60.000 1 76 1 25 \n",
"83 79.000 1 55 0 50 \n",
"84 59.000 1 280 1 25 \n",
"85 51.000 0 78 0 50 \n",
"86 55.000 0 47 0 35 \n",
"87 65.000 1 68 1 60 \n",
"88 44.000 0 84 1 40 \n",
"89 57.000 1 115 0 25 \n",
"90 70.000 0 66 1 45 \n",
"91 60.000 0 897 1 45 \n",
"92 42.000 0 582 0 60 \n",
"93 60.000 1 154 0 25 \n",
"94 58.000 0 144 1 38 \n",
"95 58.000 1 133 0 60 \n",
"96 63.000 1 514 1 25 \n",
"97 70.000 1 59 0 60 \n",
"98 60.000 1 156 1 25 \n",
"99 63.000 1 61 1 40 \n",
"100 65.000 1 305 0 25 \n",
"101 75.000 0 582 0 45 \n",
"102 80.000 0 898 0 25 \n",
"103 42.000 0 5209 0 30 \n",
"104 60.000 0 53 0 50 \n",
"105 72.000 1 328 0 30 \n",
"106 55.000 0 748 0 45 \n",
"107 45.000 1 1876 1 35 \n",
"108 63.000 0 936 0 38 \n",
"109 45.000 0 292 1 35 \n",
"110 85.000 0 129 0 60 \n",
"111 55.000 0 60 0 35 \n",
"112 50.000 0 369 1 25 \n",
"113 70.000 1 143 0 60 \n",
"114 60.000 1 754 1 40 \n",
"115 58.000 1 400 0 40 \n",
"116 60.000 1 96 1 60 \n",
"117 85.000 1 102 0 60 \n",
"118 65.000 1 113 1 60 \n",
"119 86.000 0 582 0 38 \n",
"120 60.000 1 737 0 60 \n",
"121 66.000 1 68 1 38 \n",
"122 60.000 0 96 1 38 \n",
"123 60.000 1 582 0 30 \n",
"124 60.000 0 582 0 40 \n",
"125 43.000 1 358 0 50 \n",
"126 46.000 0 168 1 17 \n",
"127 58.000 1 200 1 60 \n",
"128 61.000 0 248 0 30 \n",
"129 53.000 1 270 1 35 \n",
"130 53.000 1 1808 0 60 \n",
"131 60.000 1 1082 1 45 \n",
"132 46.000 0 719 0 40 \n",
"133 63.000 0 193 0 60 \n",
"134 81.000 0 4540 0 35 \n",
"135 75.000 0 582 0 40 \n",
"136 65.000 1 59 1 60 \n",
"137 68.000 1 646 0 25 \n",
"138 62.000 0 281 1 35 \n",
"139 50.000 0 1548 0 30 \n",
"140 80.000 0 805 0 38 \n",
"141 46.000 1 291 0 35 \n",
"142 50.000 0 482 1 30 \n",
"143 61.000 1 84 0 40 \n",
"144 72.000 1 943 0 25 \n",
"145 50.000 0 185 0 30 \n",
"146 52.000 0 132 0 30 \n",
"147 64.000 0 1610 0 60 \n",
"148 75.000 1 582 0 30 \n",
"149 60.000 0 2261 0 35 \n",
"150 72.000 0 233 0 45 \n",
"151 62.000 0 30 1 60 \n",
"152 50.000 0 115 0 45 \n",
"153 50.000 0 1846 1 35 \n",
"154 65.000 1 335 0 35 \n",
"155 60.000 1 231 1 25 \n",
"156 52.000 1 58 0 35 \n",
"157 50.000 0 250 0 25 \n",
"158 85.000 1 910 0 50 \n",
"159 59.000 1 129 0 45 \n",
"160 66.000 1 72 0 40 \n",
"161 45.000 1 130 0 35 \n",
"162 63.000 1 582 0 40 \n",
"163 50.000 1 2334 1 35 \n",
"164 45.000 0 2442 1 30 \n",
"165 80.000 0 776 1 38 \n",
"166 53.000 0 196 0 60 \n",
"167 59.000 0 66 1 20 \n",
"168 65.000 0 582 1 40 \n",
"169 70.000 0 835 0 35 \n",
"170 51.000 1 582 1 35 \n",
"171 52.000 0 3966 0 40 \n",
"172 70.000 1 171 0 60 \n",
"173 50.000 1 115 0 20 \n",
"174 65.000 0 198 1 35 \n",
"175 60.000 1 95 0 60 \n",
"176 69.000 0 1419 0 40 \n",
"177 49.000 1 69 0 50 \n",
"178 63.000 1 122 1 60 \n",
"179 55.000 0 835 0 40 \n",
"180 40.000 0 478 1 30 \n",
"181 59.000 1 176 1 25 \n",
"182 65.000 0 395 1 25 \n",
"183 75.000 0 99 0 38 \n",
"184 58.000 1 145 0 25 \n",
"185 60.667 1 104 1 30 \n",
"186 50.000 0 582 0 50 \n",
"187 60.000 0 1896 1 25 \n",
"188 60.667 1 151 1 40 \n",
"189 40.000 0 244 0 45 \n",
"190 80.000 0 582 1 35 \n",
"191 64.000 1 62 0 60 \n",
"192 50.000 1 121 1 40 \n",
"193 73.000 1 231 1 30 \n",
"194 45.000 0 582 0 20 \n",
"195 77.000 1 418 0 45 \n",
"196 45.000 0 582 1 38 \n",
"197 65.000 0 167 0 30 \n",
"198 50.000 1 582 1 20 \n",
"199 60.000 0 1211 1 35 \n",
"200 63.000 1 1767 0 45 \n",
"201 45.000 0 308 1 60 \n",
"202 70.000 0 97 0 60 \n",
"203 60.000 0 59 0 25 \n",
"204 78.000 1 64 0 40 \n",
"205 50.000 1 167 1 45 \n",
"206 40.000 1 101 0 40 \n",
"207 85.000 0 212 0 38 \n",
"208 60.000 1 2281 1 40 \n",
"209 49.000 0 972 1 35 \n",
"210 70.000 0 212 1 17 \n",
"211 50.000 0 582 0 62 \n",
"212 78.000 0 224 0 50 \n",
"213 48.000 1 131 1 30 \n",
"214 65.000 1 135 0 35 \n",
"215 73.000 0 582 0 35 \n",
"216 70.000 0 1202 0 50 \n",
"217 54.000 1 427 0 70 \n",
"218 68.000 1 1021 1 35 \n",
"219 55.000 0 582 1 35 \n",
"220 73.000 0 582 0 20 \n",
"221 65.000 0 118 0 50 \n",
"222 42.000 1 86 0 35 \n",
"223 47.000 0 582 0 25 \n",
"224 58.000 0 582 1 25 \n",
"225 75.000 0 675 1 60 \n",
"226 58.000 1 57 0 25 \n",
"227 55.000 1 2794 0 35 \n",
"228 65.000 0 56 0 25 \n",
"229 72.000 0 211 0 25 \n",
"230 60.000 0 166 0 30 \n",
"231 70.000 0 93 0 35 \n",
"232 40.000 1 129 0 35 \n",
"233 53.000 1 707 0 38 \n",
"234 53.000 1 582 0 45 \n",
"235 77.000 1 109 0 50 \n",
"236 75.000 0 119 0 50 \n",
"237 70.000 0 232 0 30 \n",
"238 65.000 1 720 1 40 \n",
"239 55.000 1 180 0 45 \n",
"240 70.000 0 81 1 35 \n",
"241 65.000 0 582 1 30 \n",
"242 40.000 0 90 0 35 \n",
"243 73.000 1 1185 0 40 \n",
"244 54.000 0 582 1 38 \n",
"245 61.000 1 80 1 38 \n",
"246 55.000 0 2017 0 25 \n",
"247 64.000 0 143 0 25 \n",
"248 40.000 0 624 0 35 \n",
"249 53.000 0 207 1 40 \n",
"250 50.000 0 2522 0 30 \n",
"251 55.000 0 572 1 35 \n",
"252 50.000 0 245 0 45 \n",
"253 70.000 0 88 1 35 \n",
"254 53.000 1 446 0 60 \n",
"255 52.000 1 191 1 30 \n",
"256 65.000 0 326 0 38 \n",
"257 58.000 0 132 1 38 \n",
"258 45.000 1 66 1 25 \n",
"259 53.000 0 56 0 50 \n",
"260 55.000 0 66 0 40 \n",
"261 62.000 1 655 0 40 \n",
"262 65.000 1 258 1 25 \n",
"263 68.000 1 157 1 60 \n",
"264 61.000 0 582 1 38 \n",
"265 50.000 1 298 0 35 \n",
"266 55.000 0 1199 0 20 \n",
"267 56.000 1 135 1 38 \n",
"268 45.000 0 582 1 38 \n",
"269 40.000 0 582 1 35 \n",
"270 44.000 0 582 1 30 \n",
"271 51.000 0 582 1 40 \n",
"272 67.000 0 213 0 38 \n",
"273 42.000 0 64 0 40 \n",
"274 60.000 1 257 1 30 \n",
"275 45.000 0 582 0 38 \n",
"276 70.000 0 618 0 35 \n",
"277 70.000 0 582 1 38 \n",
"278 50.000 1 1051 1 30 \n",
"279 55.000 0 84 1 38 \n",
"280 70.000 0 2695 1 40 \n",
"281 70.000 0 582 0 40 \n",
"282 42.000 0 64 0 30 \n",
"283 65.000 0 1688 0 38 \n",
"284 50.000 1 54 0 40 \n",
"285 55.000 1 170 1 40 \n",
"286 60.000 0 253 0 35 \n",
"287 45.000 0 582 1 55 \n",
"288 65.000 0 892 1 35 \n",
"289 90.000 1 337 0 38 \n",
"290 45.000 0 615 1 55 \n",
"291 60.000 0 320 0 35 \n",
"292 52.000 0 190 1 38 \n",
"293 63.000 1 103 1 35 \n",
"294 62.000 0 61 1 38 \n",
"295 55.000 0 1820 0 38 \n",
"296 45.000 0 2060 1 60 \n",
"297 45.000 0 2413 0 38 \n",
"298 50.000 0 196 0 45 \n",
"\n",
" high_blood_pressure platelets serum_creatinine serum_sodium sex \\\n",
"0 1 265000.00 1.90 130 1 \n",
"1 0 263358.03 1.10 136 1 \n",
"2 0 162000.00 1.30 129 1 \n",
"3 0 210000.00 1.90 137 1 \n",
"4 0 327000.00 2.70 116 0 \n",
"5 1 204000.00 2.10 132 1 \n",
"6 0 127000.00 1.20 137 1 \n",
"7 0 454000.00 1.10 131 1 \n",
"8 0 263358.03 1.50 138 0 \n",
"9 1 388000.00 9.40 133 1 \n",
"10 1 368000.00 4.00 131 1 \n",
"11 1 253000.00 0.90 140 1 \n",
"12 0 136000.00 1.10 137 1 \n",
"13 1 276000.00 1.10 137 1 \n",
"14 1 427000.00 1.00 138 0 \n",
"15 0 47000.00 1.30 136 1 \n",
"16 0 262000.00 0.90 140 1 \n",
"17 0 166000.00 0.80 127 1 \n",
"18 1 237000.00 1.00 140 0 \n",
"19 0 87000.00 1.90 121 0 \n",
"20 1 276000.00 1.30 137 0 \n",
"21 1 297000.00 1.60 136 0 \n",
"22 1 289000.00 0.90 140 1 \n",
"23 0 368000.00 0.80 135 1 \n",
"24 1 263358.03 1.83 134 0 \n",
"25 0 149000.00 1.90 144 1 \n",
"26 1 196000.00 1.00 138 0 \n",
"27 1 284000.00 1.30 136 1 \n",
"28 0 153000.00 5.80 134 1 \n",
"29 0 200000.00 1.20 132 1 \n",
"30 1 263358.03 1.83 134 1 \n",
"31 0 360000.00 3.00 132 1 \n",
"32 1 319000.00 1.00 128 0 \n",
"33 0 302000.00 1.20 138 0 \n",
"34 1 188000.00 1.00 140 1 \n",
"35 0 228000.00 3.50 134 1 \n",
"36 0 226000.00 1.00 134 1 \n",
"37 1 321000.00 1.00 145 0 \n",
"38 0 305000.00 2.30 137 1 \n",
"39 0 329000.00 3.00 142 0 \n",
"40 1 263358.03 1.83 134 1 \n",
"41 1 153000.00 1.20 136 0 \n",
"42 1 185000.00 1.20 139 1 \n",
"43 1 218000.00 1.00 134 1 \n",
"44 0 194000.00 1.10 142 0 \n",
"45 0 310000.00 1.90 135 1 \n",
"46 1 271000.00 0.90 130 1 \n",
"47 1 451000.00 0.60 138 1 \n",
"48 1 140000.00 4.40 133 1 \n",
"49 0 395000.00 1.00 140 0 \n",
"50 1 166000.00 1.00 138 1 \n",
"51 1 418000.00 1.40 139 0 \n",
"52 0 263358.03 6.80 146 0 \n",
"53 1 351000.00 1.00 134 0 \n",
"54 0 255000.00 2.20 132 0 \n",
"55 0 461000.00 2.00 132 1 \n",
"56 0 223000.00 2.70 138 1 \n",
"57 0 216000.00 0.60 138 1 \n",
"58 1 319000.00 1.10 136 1 \n",
"59 1 254000.00 1.30 136 1 \n",
"60 1 390000.00 1.00 139 1 \n",
"61 1 216000.00 2.30 131 0 \n",
"62 0 254000.00 1.10 139 1 \n",
"63 0 385000.00 1.00 145 1 \n",
"64 0 263358.03 1.18 137 0 \n",
"65 0 119000.00 2.90 127 1 \n",
"66 0 213000.00 1.30 136 0 \n",
"67 0 274000.00 1.00 140 1 \n",
"68 0 244000.00 1.20 142 0 \n",
"69 0 497000.00 1.83 135 1 \n",
"70 0 374000.00 0.80 140 1 \n",
"71 0 122000.00 0.90 139 1 \n",
"72 0 243000.00 1.00 132 1 \n",
"73 0 149000.00 1.30 137 1 \n",
"74 0 266000.00 1.20 134 1 \n",
"75 0 204000.00 0.70 139 1 \n",
"76 1 317000.00 0.80 140 0 \n",
"77 0 237000.00 1.20 140 1 \n",
"78 1 283000.00 0.60 131 1 \n",
"79 1 324000.00 0.90 140 0 \n",
"80 0 293000.00 1.70 136 0 \n",
"81 0 263358.03 1.18 137 1 \n",
"82 0 196000.00 2.50 132 0 \n",
"83 1 172000.00 1.80 133 1 \n",
"84 1 302000.00 1.00 141 0 \n",
"85 0 406000.00 0.70 140 1 \n",
"86 1 173000.00 1.10 137 1 \n",
"87 1 304000.00 0.80 140 1 \n",
"88 1 235000.00 0.70 139 1 \n",
"89 1 181000.00 1.10 144 1 \n",
"90 0 249000.00 0.80 136 1 \n",
"91 0 297000.00 1.00 133 1 \n",
"92 0 263358.03 1.18 137 0 \n",
"93 0 210000.00 1.70 135 1 \n",
"94 1 327000.00 0.70 142 0 \n",
"95 1 219000.00 1.00 141 1 \n",
"96 1 254000.00 1.30 134 1 \n",
"97 0 255000.00 1.10 136 0 \n",
"98 1 318000.00 1.20 137 0 \n",
"99 0 221000.00 1.10 140 0 \n",
"100 0 298000.00 1.10 141 1 \n",
"101 1 263358.03 1.18 137 1 \n",
"102 0 149000.00 1.10 144 1 \n",
"103 0 226000.00 1.00 140 1 \n",
"104 1 286000.00 2.30 143 0 \n",
"105 1 621000.00 1.70 138 0 \n",
"106 0 263000.00 1.30 137 1 \n",
"107 0 226000.00 0.90 138 1 \n",
"108 0 304000.00 1.10 133 1 \n",
"109 0 850000.00 1.30 142 1 \n",
"110 0 306000.00 1.20 132 1 \n",
"111 0 228000.00 1.20 135 1 \n",
"112 0 252000.00 1.60 136 1 \n",
"113 0 351000.00 1.30 137 0 \n",
"114 1 328000.00 1.20 126 1 \n",
"115 0 164000.00 1.00 139 0 \n",
"116 1 271000.00 0.70 136 0 \n",
"117 0 507000.00 3.20 138 0 \n",
"118 1 203000.00 0.90 140 0 \n",
"119 0 263358.03 1.83 134 0 \n",
"120 1 210000.00 1.50 135 1 \n",
"121 1 162000.00 1.00 136 0 \n",
"122 0 228000.00 0.75 140 0 \n",
"123 1 127000.00 0.90 145 0 \n",
"124 0 217000.00 3.70 134 1 \n",
"125 0 237000.00 1.30 135 0 \n",
"126 1 271000.00 2.10 124 0 \n",
"127 0 300000.00 0.80 137 0 \n",
"128 1 267000.00 0.70 136 1 \n",
"129 0 227000.00 3.40 145 1 \n",
"130 1 249000.00 0.70 138 1 \n",
"131 0 250000.00 6.10 131 1 \n",
"132 1 263358.03 1.18 137 0 \n",
"133 1 295000.00 1.30 145 1 \n",
"134 0 231000.00 1.18 137 1 \n",
"135 0 263358.03 1.18 137 1 \n",
"136 0 172000.00 0.90 137 0 \n",
"137 0 305000.00 2.10 130 1 \n",
"138 0 221000.00 1.00 136 0 \n",
"139 1 211000.00 0.80 138 1 \n",
"140 0 263358.03 1.10 134 1 \n",
"141 0 348000.00 0.90 140 0 \n",
"142 0 329000.00 0.90 132 0 \n",
"143 1 229000.00 0.90 141 0 \n",
"144 1 338000.00 1.70 139 1 \n",
"145 0 266000.00 0.70 141 1 \n",
"146 0 218000.00 0.70 136 1 \n",
"147 0 242000.00 1.00 137 1 \n",
"148 0 225000.00 1.83 134 1 \n",
"149 1 228000.00 0.90 136 1 \n",
"150 1 235000.00 2.50 135 0 \n",
"151 1 244000.00 0.90 139 1 \n",
"152 1 184000.00 0.90 134 1 \n",
"153 0 263358.03 1.18 137 1 \n",
"154 1 235000.00 0.80 136 0 \n",
"155 0 194000.00 1.70 140 1 \n",
"156 0 277000.00 1.40 136 0 \n",
"157 0 262000.00 1.00 136 1 \n",
"158 0 235000.00 1.30 134 1 \n",
"159 1 362000.00 1.10 139 1 \n",
"160 1 242000.00 1.20 134 1 \n",
"161 0 174000.00 0.80 139 1 \n",
"162 0 448000.00 0.90 137 1 \n",
"163 0 75000.00 0.90 142 0 \n",
"164 0 334000.00 1.10 139 1 \n",
"165 1 192000.00 1.30 135 0 \n",
"166 0 220000.00 0.70 133 1 \n",
"167 0 70000.00 2.40 134 1 \n",
"168 0 270000.00 1.00 138 0 \n",
"169 1 305000.00 0.80 133 0 \n",
"170 0 263358.03 1.50 136 1 \n",
"171 0 325000.00 0.90 140 1 \n",
"172 1 176000.00 1.10 145 1 \n",
"173 0 189000.00 0.80 139 1 \n",
"174 1 281000.00 0.90 137 1 \n",
"175 0 337000.00 1.00 138 1 \n",
"176 0 105000.00 1.00 135 1 \n",
"177 0 132000.00 1.00 140 0 \n",
"178 0 267000.00 1.20 145 1 \n",
"179 0 279000.00 0.70 140 1 \n",
"180 0 303000.00 0.90 136 1 \n",
"181 0 221000.00 1.00 136 1 \n",
"182 0 265000.00 1.20 136 1 \n",
"183 1 224000.00 2.50 134 1 \n",
"184 0 219000.00 1.20 137 1 \n",
"185 0 389000.00 1.50 136 1 \n",
"186 0 153000.00 0.60 134 0 \n",
"187 0 365000.00 2.10 144 0 \n",
"188 1 201000.00 1.00 136 0 \n",
"189 1 275000.00 0.90 140 0 \n",
"190 0 350000.00 2.10 134 1 \n",
"191 0 309000.00 1.50 135 0 \n",
"192 0 260000.00 0.70 130 1 \n",
"193 0 160000.00 1.18 142 1 \n",
"194 1 126000.00 1.60 135 1 \n",
"195 0 223000.00 1.80 145 1 \n",
"196 1 263358.03 1.18 137 0 \n",
"197 0 259000.00 0.80 138 0 \n",
"198 1 279000.00 1.00 134 0 \n",
"199 0 263358.03 1.80 113 1 \n",
"200 0 73000.00 0.70 137 1 \n",
"201 1 377000.00 1.00 136 1 \n",
"202 1 220000.00 0.90 138 1 \n",
"203 1 212000.00 3.50 136 1 \n",
"204 0 277000.00 0.70 137 1 \n",
"205 0 362000.00 1.00 136 0 \n",
"206 0 226000.00 0.80 141 0 \n",
"207 0 186000.00 0.90 136 1 \n",
"208 0 283000.00 1.00 141 0 \n",
"209 1 268000.00 0.80 130 0 \n",
"210 1 389000.00 1.00 136 1 \n",
"211 1 147000.00 0.80 140 1 \n",
"212 0 481000.00 1.40 138 1 \n",
"213 1 244000.00 1.60 130 0 \n",
"214 1 290000.00 0.80 134 1 \n",
"215 1 203000.00 1.30 134 1 \n",
"216 1 358000.00 0.90 141 0 \n",
"217 1 151000.00 9.00 137 0 \n",
"218 0 271000.00 1.10 134 1 \n",
"219 1 371000.00 0.70 140 0 \n",
"220 0 263358.03 1.83 134 1 \n",
"221 0 194000.00 1.10 145 1 \n",
"222 0 365000.00 1.10 139 1 \n",
"223 0 130000.00 0.80 134 1 \n",
"224 0 504000.00 1.00 138 1 \n",
"225 0 265000.00 1.40 125 0 \n",
"226 0 189000.00 1.30 132 1 \n",
"227 1 141000.00 1.00 140 1 \n",
"228 0 237000.00 5.00 130 0 \n",
"229 0 274000.00 1.20 134 0 \n",
"230 0 62000.00 1.70 127 0 \n",
"231 0 185000.00 1.10 134 1 \n",
"232 0 255000.00 0.90 137 1 \n",
"233 0 330000.00 1.40 137 1 \n",
"234 0 305000.00 1.10 137 1 \n",
"235 1 406000.00 1.10 137 1 \n",
"236 1 248000.00 1.10 148 1 \n",
"237 0 173000.00 1.20 132 1 \n",
"238 0 257000.00 1.00 136 0 \n",
"239 0 263358.03 1.18 137 1 \n",
"240 1 533000.00 1.30 139 0 \n",
"241 0 249000.00 1.30 136 1 \n",
"242 0 255000.00 1.10 136 1 \n",
"243 1 220000.00 0.90 141 0 \n",
"244 0 264000.00 1.80 134 1 \n",
"245 0 282000.00 1.40 137 1 \n",
"246 0 314000.00 1.10 138 1 \n",
"247 0 246000.00 2.40 135 1 \n",
"248 0 301000.00 1.00 142 1 \n",
"249 0 223000.00 1.20 130 0 \n",
"250 1 404000.00 0.50 139 0 \n",
"251 0 231000.00 0.80 143 0 \n",
"252 1 274000.00 1.00 133 1 \n",
"253 1 236000.00 1.20 132 0 \n",
"254 1 263358.03 1.00 139 1 \n",
"255 1 334000.00 1.00 142 1 \n",
"256 0 294000.00 1.70 139 0 \n",
"257 1 253000.00 1.00 139 1 \n",
"258 0 233000.00 0.80 135 1 \n",
"259 0 308000.00 0.70 135 1 \n",
"260 0 203000.00 1.00 138 1 \n",
"261 0 283000.00 0.70 133 0 \n",
"262 0 198000.00 1.40 129 1 \n",
"263 0 208000.00 1.00 140 0 \n",
"264 0 147000.00 1.20 141 1 \n",
"265 0 362000.00 0.90 140 1 \n",
"266 0 263358.03 1.83 134 1 \n",
"267 0 133000.00 1.70 140 1 \n",
"268 0 302000.00 0.90 140 0 \n",
"269 0 222000.00 1.00 132 1 \n",
"270 1 263358.03 1.60 130 1 \n",
"271 0 221000.00 0.90 134 0 \n",
"272 0 215000.00 1.20 133 0 \n",
"273 0 189000.00 0.70 140 1 \n",
"274 0 150000.00 1.00 137 1 \n",
"275 1 422000.00 0.80 137 0 \n",
"276 0 327000.00 1.10 142 0 \n",
"277 0 25100.00 1.10 140 1 \n",
"278 0 232000.00 0.70 136 0 \n",
"279 0 451000.00 1.30 136 0 \n",
"280 0 241000.00 1.00 137 1 \n",
"281 0 51000.00 2.70 136 1 \n",
"282 0 215000.00 3.80 128 1 \n",
"283 0 263358.03 1.10 138 1 \n",
"284 0 279000.00 0.80 141 1 \n",
"285 0 336000.00 1.20 135 1 \n",
"286 0 279000.00 1.70 140 1 \n",
"287 0 543000.00 1.00 132 0 \n",
"288 0 263358.03 1.10 142 0 \n",
"289 0 390000.00 0.90 144 0 \n",
"290 0 222000.00 0.80 141 0 \n",
"291 0 133000.00 1.40 139 1 \n",
"292 0 382000.00 1.00 140 1 \n",
"293 0 179000.00 0.90 136 1 \n",
"294 1 155000.00 1.10 143 1 \n",
"295 0 270000.00 1.20 139 0 \n",
"296 0 742000.00 0.80 138 0 \n",
"297 0 140000.00 1.40 140 1 \n",
"298 0 395000.00 1.60 136 1 \n",
"\n",
" smoking time DEATH_EVENT \n",
"0 0 4 1 \n",
"1 0 6 1 \n",
"2 1 7 1 \n",
"3 0 7 1 \n",
"4 0 8 1 \n",
"5 1 8 1 \n",
"6 0 10 1 \n",
"7 1 10 1 \n",
"8 0 10 1 \n",
"9 1 10 1 \n",
"10 1 10 1 \n",
"11 1 10 1 \n",
"12 0 11 1 \n",
"13 0 11 1 \n",
"14 0 12 0 \n",
"15 0 13 1 \n",
"16 0 14 1 \n",
"17 0 14 1 \n",
"18 0 15 1 \n",
"19 0 15 1 \n",
"20 0 16 0 \n",
"21 0 20 1 \n",
"22 1 20 1 \n",
"23 0 22 0 \n",
"24 0 23 1 \n",
"25 1 23 1 \n",
"26 0 24 1 \n",
"27 1 26 1 \n",
"28 0 26 1 \n",
"29 1 26 1 \n",
"30 0 27 1 \n",
"31 0 28 1 \n",
"32 0 28 1 \n",
"33 0 29 0 \n",
"34 0 29 1 \n",
"35 0 30 1 \n",
"36 0 30 1 \n",
"37 0 30 1 \n",
"38 0 30 0 \n",
"39 0 30 1 \n",
"40 1 31 1 \n",
"41 1 32 1 \n",
"42 1 33 1 \n",
"43 0 33 0 \n",
"44 0 33 1 \n",
"45 1 35 1 \n",
"46 0 38 1 \n",
"47 1 40 1 \n",
"48 0 41 1 \n",
"49 0 42 1 \n",
"50 0 43 1 \n",
"51 0 43 1 \n",
"52 0 43 1 \n",
"53 0 44 1 \n",
"54 1 45 1 \n",
"55 0 50 1 \n",
"56 1 54 0 \n",
"57 1 54 0 \n",
"58 1 55 1 \n",
"59 1 59 1 \n",
"60 0 60 1 \n",
"61 0 60 1 \n",
"62 1 60 0 \n",
"63 0 61 1 \n",
"64 0 63 0 \n",
"65 1 64 1 \n",
"66 0 65 1 \n",
"67 1 65 1 \n",
"68 0 66 1 \n",
"69 0 67 1 \n",
"70 1 68 0 \n",
"71 1 71 0 \n",
"72 1 72 1 \n",
"73 1 72 0 \n",
"74 1 73 1 \n",
"75 1 73 1 \n",
"76 1 74 0 \n",
"77 0 74 0 \n",
"78 1 74 0 \n",
"79 0 74 0 \n",
"80 0 75 0 \n",
"81 1 76 0 \n",
"82 0 77 1 \n",
"83 0 78 0 \n",
"84 0 78 1 \n",
"85 0 79 0 \n",
"86 0 79 0 \n",
"87 0 79 0 \n",
"88 0 79 0 \n",
"89 0 79 0 \n",
"90 1 80 0 \n",
"91 0 80 0 \n",
"92 0 82 0 \n",
"93 0 82 1 \n",
"94 0 83 0 \n",
"95 0 83 0 \n",
"96 0 83 0 \n",
"97 0 85 0 \n",
"98 0 85 0 \n",
"99 0 86 0 \n",
"100 0 87 0 \n",
"101 0 87 0 \n",
"102 1 87 0 \n",
"103 1 87 0 \n",
"104 0 87 0 \n",
"105 1 88 1 \n",
"106 0 88 0 \n",
"107 0 88 0 \n",
"108 1 88 0 \n",
"109 1 88 0 \n",
"110 1 90 1 \n",
"111 1 90 0 \n",
"112 0 90 0 \n",
"113 0 90 1 \n",
"114 0 91 0 \n",
"115 0 91 0 \n",
"116 0 94 0 \n",
"117 0 94 0 \n",
"118 0 94 0 \n",
"119 0 95 1 \n",
"120 1 95 0 \n",
"121 0 95 0 \n",
"122 0 95 0 \n",
"123 0 95 0 \n",
"124 0 96 1 \n",
"125 0 97 0 \n",
"126 0 100 1 \n",
"127 0 104 0 \n",
"128 1 104 0 \n",
"129 0 105 0 \n",
"130 1 106 0 \n",
"131 0 107 0 \n",
"132 0 107 0 \n",
"133 1 107 0 \n",
"134 1 107 0 \n",
"135 0 107 0 \n",
"136 0 107 0 \n",
"137 0 108 0 \n",
"138 0 108 0 \n",
"139 0 108 0 \n",
"140 0 109 1 \n",
"141 0 109 0 \n",
"142 0 109 0 \n",
"143 0 110 0 \n",
"144 1 111 1 \n",
"145 1 112 0 \n",
"146 1 112 0 \n",
"147 0 113 0 \n",
"148 0 113 1 \n",
"149 0 115 0 \n",
"150 0 115 1 \n",
"151 0 117 0 \n",
"152 1 118 0 \n",
"153 1 119 0 \n",
"154 0 120 0 \n",
"155 0 120 0 \n",
"156 0 120 0 \n",
"157 1 120 0 \n",
"158 0 121 0 \n",
"159 1 121 0 \n",
"160 0 121 0 \n",
"161 1 121 0 \n",
"162 1 123 0 \n",
"163 0 126 1 \n",
"164 0 129 1 \n",
"165 0 130 1 \n",
"166 1 134 0 \n",
"167 0 135 1 \n",
"168 0 140 0 \n",
"169 0 145 0 \n",
"170 1 145 0 \n",
"171 1 146 0 \n",
"172 1 146 0 \n",
"173 0 146 0 \n",
"174 1 146 0 \n",
"175 1 146 0 \n",
"176 1 147 0 \n",
"177 0 147 0 \n",
"178 0 147 0 \n",
"179 1 147 0 \n",
"180 0 148 0 \n",
"181 1 150 1 \n",
"182 1 154 1 \n",
"183 0 162 1 \n",
"184 1 170 1 \n",
"185 0 171 1 \n",
"186 0 172 1 \n",
"187 0 172 1 \n",
"188 0 172 0 \n",
"189 0 174 0 \n",
"190 0 174 0 \n",
"191 0 174 0 \n",
"192 0 175 0 \n",
"193 1 180 0 \n",
"194 0 180 1 \n",
"195 0 180 1 \n",
"196 0 185 0 \n",
"197 0 186 0 \n",
"198 0 186 0 \n",
"199 1 186 0 \n",
"200 0 186 0 \n",
"201 0 186 0 \n",
"202 0 186 0 \n",
"203 1 187 0 \n",
"204 1 187 0 \n",
"205 0 187 0 \n",
"206 0 187 0 \n",
"207 0 187 0 \n",
"208 0 187 0 \n",
"209 0 187 0 \n",
"210 1 188 0 \n",
"211 1 192 0 \n",
"212 1 192 0 \n",
"213 0 193 1 \n",
"214 0 194 0 \n",
"215 0 195 0 \n",
"216 0 196 0 \n",
"217 0 196 1 \n",
"218 0 197 0 \n",
"219 0 197 0 \n",
"220 0 198 1 \n",
"221 1 200 0 \n",
"222 1 201 0 \n",
"223 0 201 0 \n",
"224 0 205 0 \n",
"225 0 205 0 \n",
"226 1 205 0 \n",
"227 0 206 0 \n",
"228 0 207 0 \n",
"229 0 207 0 \n",
"230 0 207 1 \n",
"231 1 208 0 \n",
"232 0 209 0 \n",
"233 1 209 0 \n",
"234 1 209 0 \n",
"235 0 209 0 \n",
"236 0 209 0 \n",
"237 0 210 0 \n",
"238 0 210 0 \n",
"239 1 211 0 \n",
"240 0 212 0 \n",
"241 1 212 0 \n",
"242 1 212 0 \n",
"243 0 213 0 \n",
"244 0 213 0 \n",
"245 0 213 0 \n",
"246 0 214 1 \n",
"247 0 214 0 \n",
"248 1 214 0 \n",
"249 0 214 0 \n",
"250 0 214 0 \n",
"251 0 215 0 \n",
"252 0 215 0 \n",
"253 0 215 0 \n",
"254 0 215 0 \n",
"255 1 216 0 \n",
"256 0 220 0 \n",
"257 0 230 0 \n",
"258 0 230 0 \n",
"259 1 231 0 \n",
"260 0 233 0 \n",
"261 0 233 0 \n",
"262 0 235 1 \n",
"263 0 237 0 \n",
"264 0 237 0 \n",
"265 1 240 0 \n",
"266 1 241 1 \n",
"267 0 244 0 \n",
"268 0 244 0 \n",
"269 0 244 0 \n",
"270 1 244 0 \n",
"271 0 244 0 \n",
"272 0 245 0 \n",
"273 0 245 0 \n",
"274 1 245 0 \n",
"275 0 245 0 \n",
"276 0 245 0 \n",
"277 0 246 0 \n",
"278 0 246 0 \n",
"279 0 246 0 \n",
"280 0 247 0 \n",
"281 1 250 0 \n",
"282 1 250 0 \n",
"283 1 250 0 \n",
"284 0 250 0 \n",
"285 0 250 0 \n",
"286 0 250 0 \n",
"287 0 250 0 \n",
"288 0 256 0 \n",
"289 0 256 0 \n",
"290 0 257 0 \n",
"291 0 258 0 \n",
"292 1 258 0 \n",
"293 1 270 0 \n",
"294 1 270 0 \n",
"295 0 271 0 \n",
"296 0 278 0 \n",
"297 1 280 0 \n",
"298 1 285 0 "
],
"text/html": [
"\n",
" <div id=\"df-40df8923-0a8d-46d5-b19d-97c65f68459b\" class=\"colab-df-container\">\n",
" <div>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>age</th>\n",
" <th>anaemia</th>\n",
" <th>creatinine_phosphokinase</th>\n",
" <th>diabetes</th>\n",
" <th>ejection_fraction</th>\n",
" <th>high_blood_pressure</th>\n",
" <th>platelets</th>\n",
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" <th>serum_sodium</th>\n",
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" <th>smoking</th>\n",
" <th>time</th>\n",
" <th>DEATH_EVENT</th>\n",
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" <td>1</td>\n",
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" <td>6</td>\n",
" <td>1</td>\n",
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" <td>111</td>\n",
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" <td>20</td>\n",
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" <td>47</td>\n",
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" <td>40</td>\n",
" <td>1</td>\n",
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" <td>2.10</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>8</td>\n",
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" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>157</td>\n",
" <td>0</td>\n",
" <td>65</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.50</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>80.000</td>\n",
" <td>1</td>\n",
" <td>123</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>388000.00</td>\n",
" <td>9.40</td>\n",
" <td>133</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>75.000</td>\n",
" <td>1</td>\n",
" <td>81</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>368000.00</td>\n",
" <td>4.00</td>\n",
" <td>131</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>62.000</td>\n",
" <td>0</td>\n",
" <td>231</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>253000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>10</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>45.000</td>\n",
" <td>1</td>\n",
" <td>981</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>136000.00</td>\n",
" <td>1.10</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>11</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>168</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>276000.00</td>\n",
" <td>1.10</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>11</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>49.000</td>\n",
" <td>1</td>\n",
" <td>80</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>427000.00</td>\n",
" <td>1.00</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>12</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>82.000</td>\n",
" <td>1</td>\n",
" <td>379</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>47000.00</td>\n",
" <td>1.30</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>13</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>87.000</td>\n",
" <td>1</td>\n",
" <td>149</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>262000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>14</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>14</td>\n",
" <td>0</td>\n",
" <td>166000.00</td>\n",
" <td>0.80</td>\n",
" <td>127</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>14</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>70.000</td>\n",
" <td>1</td>\n",
" <td>125</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>237000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>15</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>48.000</td>\n",
" <td>1</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>55</td>\n",
" <td>0</td>\n",
" <td>87000.00</td>\n",
" <td>1.90</td>\n",
" <td>121</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>15</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>52</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>276000.00</td>\n",
" <td>1.30</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>128</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>297000.00</td>\n",
" <td>1.60</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>68.000</td>\n",
" <td>1</td>\n",
" <td>220</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>289000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>53.000</td>\n",
" <td>0</td>\n",
" <td>63</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>368000.00</td>\n",
" <td>0.80</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>22</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>75.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>263358.03</td>\n",
" <td>1.83</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>23</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>80.000</td>\n",
" <td>0</td>\n",
" <td>148</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>149000.00</td>\n",
" <td>1.90</td>\n",
" <td>144</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>23</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>95.000</td>\n",
" <td>1</td>\n",
" <td>112</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>196000.00</td>\n",
" <td>1.00</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>122</td>\n",
" <td>1</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>284000.00</td>\n",
" <td>1.30</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>26</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>58.000</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>153000.00</td>\n",
" <td>5.80</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>26</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>82.000</td>\n",
" <td>0</td>\n",
" <td>70</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>200000.00</td>\n",
" <td>1.20</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>26</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>94.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>263358.03</td>\n",
" <td>1.83</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>27</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>85.000</td>\n",
" <td>0</td>\n",
" <td>23</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>360000.00</td>\n",
" <td>3.00</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>28</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>249</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>319000.00</td>\n",
" <td>1.00</td>\n",
" <td>128</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>28</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>159</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>302000.00</td>\n",
" <td>1.20</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>29</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>94</td>\n",
" <td>1</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>188000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>29</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>69.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>228000.00</td>\n",
" <td>3.50</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>90.000</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>226000.00</td>\n",
" <td>1.00</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>82.000</td>\n",
" <td>1</td>\n",
" <td>855</td>\n",
" <td>1</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>321000.00</td>\n",
" <td>1.00</td>\n",
" <td>145</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>2656</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>305000.00</td>\n",
" <td>2.30</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>235</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>329000.00</td>\n",
" <td>3.00</td>\n",
" <td>142</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>263358.03</td>\n",
" <td>1.83</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>31</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>124</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>153000.00</td>\n",
" <td>1.20</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>32</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>571</td>\n",
" <td>1</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>185000.00</td>\n",
" <td>1.20</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>33</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>72.000</td>\n",
" <td>0</td>\n",
" <td>127</td>\n",
" <td>1</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>218000.00</td>\n",
" <td>1.00</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>588</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>194000.00</td>\n",
" <td>1.10</td>\n",
" <td>142</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>310000.00</td>\n",
" <td>1.90</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>51.000</td>\n",
" <td>0</td>\n",
" <td>1380</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>271000.00</td>\n",
" <td>0.90</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>451000.00</td>\n",
" <td>0.60</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48</th>\n",
" <td>80.000</td>\n",
" <td>1</td>\n",
" <td>553</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>140000.00</td>\n",
" <td>4.40</td>\n",
" <td>133</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>41</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>49</th>\n",
" <td>57.000</td>\n",
" <td>1</td>\n",
" <td>129</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>395000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>42</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>68.000</td>\n",
" <td>1</td>\n",
" <td>577</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>166000.00</td>\n",
" <td>1.00</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>43</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>53.000</td>\n",
" <td>1</td>\n",
" <td>91</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>418000.00</td>\n",
" <td>1.40</td>\n",
" <td>139</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>43</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>3964</td>\n",
" <td>1</td>\n",
" <td>62</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>6.80</td>\n",
" <td>146</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>43</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>53</th>\n",
" <td>70.000</td>\n",
" <td>1</td>\n",
" <td>69</td>\n",
" <td>1</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>351000.00</td>\n",
" <td>1.00</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>44</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>54</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>260</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>255000.00</td>\n",
" <td>2.20</td>\n",
" <td>132</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>55</th>\n",
" <td>95.000</td>\n",
" <td>1</td>\n",
" <td>371</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>461000.00</td>\n",
" <td>2.00</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>56</th>\n",
" <td>70.000</td>\n",
" <td>1</td>\n",
" <td>75</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>223000.00</td>\n",
" <td>2.70</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>54</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>607</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>216000.00</td>\n",
" <td>0.60</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>54</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58</th>\n",
" <td>49.000</td>\n",
" <td>0</td>\n",
" <td>789</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>319000.00</td>\n",
" <td>1.10</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>55</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>59</th>\n",
" <td>72.000</td>\n",
" <td>0</td>\n",
" <td>364</td>\n",
" <td>1</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>254000.00</td>\n",
" <td>1.30</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>59</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>60</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>7702</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>390000.00</td>\n",
" <td>1.00</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>318</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>216000.00</td>\n",
" <td>2.30</td>\n",
" <td>131</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>62</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>109</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>254000.00</td>\n",
" <td>1.10</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>63</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>385000.00</td>\n",
" <td>1.00</td>\n",
" <td>145</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>61</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>80</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>63</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>65</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>68</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>119000.00</td>\n",
" <td>2.90</td>\n",
" <td>127</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>64</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66</th>\n",
" <td>42.000</td>\n",
" <td>1</td>\n",
" <td>250</td>\n",
" <td>1</td>\n",
" <td>15</td>\n",
" <td>0</td>\n",
" <td>213000.00</td>\n",
" <td>1.30</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>65</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>67</th>\n",
" <td>72.000</td>\n",
" <td>1</td>\n",
" <td>110</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>274000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>65</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>68</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>161</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>244000.00</td>\n",
" <td>1.20</td>\n",
" <td>142</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>66</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>69</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>113</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>497000.00</td>\n",
" <td>1.83</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>67</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>70</th>\n",
" <td>41.000</td>\n",
" <td>0</td>\n",
" <td>148</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>374000.00</td>\n",
" <td>0.80</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>68</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71</th>\n",
" <td>58.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>122000.00</td>\n",
" <td>0.90</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>71</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72</th>\n",
" <td>85.000</td>\n",
" <td>0</td>\n",
" <td>5882</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>243000.00</td>\n",
" <td>1.00</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>72</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>224</td>\n",
" <td>1</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>149000.00</td>\n",
" <td>1.30</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>72</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74</th>\n",
" <td>69.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>266000.00</td>\n",
" <td>1.20</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>73</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>47</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>204000.00</td>\n",
" <td>0.70</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>73</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>92</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>317000.00</td>\n",
" <td>0.80</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>74</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>77</th>\n",
" <td>42.000</td>\n",
" <td>0</td>\n",
" <td>102</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>237000.00</td>\n",
" <td>1.20</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>74</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>78</th>\n",
" <td>75.000</td>\n",
" <td>1</td>\n",
" <td>203</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>283000.00</td>\n",
" <td>0.60</td>\n",
" <td>131</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>74</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>79</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>336</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>324000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>74</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>69</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>293000.00</td>\n",
" <td>1.70</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>75</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>81</th>\n",
" <td>67.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>76</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>82</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>76</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>196000.00</td>\n",
" <td>2.50</td>\n",
" <td>132</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>77</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>83</th>\n",
" <td>79.000</td>\n",
" <td>1</td>\n",
" <td>55</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>172000.00</td>\n",
" <td>1.80</td>\n",
" <td>133</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>78</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>84</th>\n",
" <td>59.000</td>\n",
" <td>1</td>\n",
" <td>280</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>302000.00</td>\n",
" <td>1.00</td>\n",
" <td>141</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>78</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>85</th>\n",
" <td>51.000</td>\n",
" <td>0</td>\n",
" <td>78</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>406000.00</td>\n",
" <td>0.70</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>86</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>47</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>173000.00</td>\n",
" <td>1.10</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>87</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>68</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>304000.00</td>\n",
" <td>0.80</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>88</th>\n",
" <td>44.000</td>\n",
" <td>0</td>\n",
" <td>84</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>235000.00</td>\n",
" <td>0.70</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>89</th>\n",
" <td>57.000</td>\n",
" <td>1</td>\n",
" <td>115</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>181000.00</td>\n",
" <td>1.10</td>\n",
" <td>144</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>79</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>90</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>66</td>\n",
" <td>1</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>249000.00</td>\n",
" <td>0.80</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>80</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>91</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>897</td>\n",
" <td>1</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>297000.00</td>\n",
" <td>1.00</td>\n",
" <td>133</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>80</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>92</th>\n",
" <td>42.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>82</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>93</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>154</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>210000.00</td>\n",
" <td>1.70</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>82</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>94</th>\n",
" <td>58.000</td>\n",
" <td>0</td>\n",
" <td>144</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>327000.00</td>\n",
" <td>0.70</td>\n",
" <td>142</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>83</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>95</th>\n",
" <td>58.000</td>\n",
" <td>1</td>\n",
" <td>133</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>219000.00</td>\n",
" <td>1.00</td>\n",
" <td>141</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>83</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96</th>\n",
" <td>63.000</td>\n",
" <td>1</td>\n",
" <td>514</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>254000.00</td>\n",
" <td>1.30</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>83</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97</th>\n",
" <td>70.000</td>\n",
" <td>1</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>255000.00</td>\n",
" <td>1.10</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>85</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>156</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>318000.00</td>\n",
" <td>1.20</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>85</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>63.000</td>\n",
" <td>1</td>\n",
" <td>61</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>221000.00</td>\n",
" <td>1.10</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>86</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>100</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>305</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>298000.00</td>\n",
" <td>1.10</td>\n",
" <td>141</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>87</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>101</th>\n",
" <td>75.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>87</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>102</th>\n",
" <td>80.000</td>\n",
" <td>0</td>\n",
" <td>898</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>149000.00</td>\n",
" <td>1.10</td>\n",
" <td>144</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>87</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>103</th>\n",
" <td>42.000</td>\n",
" <td>0</td>\n",
" <td>5209</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>226000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>87</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>104</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>53</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>286000.00</td>\n",
" <td>2.30</td>\n",
" <td>143</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>87</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>105</th>\n",
" <td>72.000</td>\n",
" <td>1</td>\n",
" <td>328</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>621000.00</td>\n",
" <td>1.70</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>88</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>106</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>748</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>263000.00</td>\n",
" <td>1.30</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>88</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>107</th>\n",
" <td>45.000</td>\n",
" <td>1</td>\n",
" <td>1876</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>226000.00</td>\n",
" <td>0.90</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>88</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>108</th>\n",
" <td>63.000</td>\n",
" <td>0</td>\n",
" <td>936</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>304000.00</td>\n",
" <td>1.10</td>\n",
" <td>133</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>88</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>109</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>292</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>850000.00</td>\n",
" <td>1.30</td>\n",
" <td>142</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>88</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>110</th>\n",
" <td>85.000</td>\n",
" <td>0</td>\n",
" <td>129</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>306000.00</td>\n",
" <td>1.20</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>90</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>111</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>228000.00</td>\n",
" <td>1.20</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>90</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>112</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>369</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>252000.00</td>\n",
" <td>1.60</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>90</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>113</th>\n",
" <td>70.000</td>\n",
" <td>1</td>\n",
" <td>143</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>351000.00</td>\n",
" <td>1.30</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>90</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>114</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>754</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>328000.00</td>\n",
" <td>1.20</td>\n",
" <td>126</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>91</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115</th>\n",
" <td>58.000</td>\n",
" <td>1</td>\n",
" <td>400</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>164000.00</td>\n",
" <td>1.00</td>\n",
" <td>139</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>91</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>116</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>96</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>271000.00</td>\n",
" <td>0.70</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>94</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>117</th>\n",
" <td>85.000</td>\n",
" <td>1</td>\n",
" <td>102</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>507000.00</td>\n",
" <td>3.20</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>94</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>118</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>113</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>203000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>94</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>86.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.83</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>95</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>120</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>737</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>210000.00</td>\n",
" <td>1.50</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>95</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>121</th>\n",
" <td>66.000</td>\n",
" <td>1</td>\n",
" <td>68</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>162000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>95</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>96</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>228000.00</td>\n",
" <td>0.75</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>95</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>123</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>127000.00</td>\n",
" <td>0.90</td>\n",
" <td>145</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>95</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>217000.00</td>\n",
" <td>3.70</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>96</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>125</th>\n",
" <td>43.000</td>\n",
" <td>1</td>\n",
" <td>358</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>237000.00</td>\n",
" <td>1.30</td>\n",
" <td>135</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>97</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>126</th>\n",
" <td>46.000</td>\n",
" <td>0</td>\n",
" <td>168</td>\n",
" <td>1</td>\n",
" <td>17</td>\n",
" <td>1</td>\n",
" <td>271000.00</td>\n",
" <td>2.10</td>\n",
" <td>124</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>100</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>127</th>\n",
" <td>58.000</td>\n",
" <td>1</td>\n",
" <td>200</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>300000.00</td>\n",
" <td>0.80</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>104</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>128</th>\n",
" <td>61.000</td>\n",
" <td>0</td>\n",
" <td>248</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>267000.00</td>\n",
" <td>0.70</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>104</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>129</th>\n",
" <td>53.000</td>\n",
" <td>1</td>\n",
" <td>270</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>227000.00</td>\n",
" <td>3.40</td>\n",
" <td>145</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>105</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>130</th>\n",
" <td>53.000</td>\n",
" <td>1</td>\n",
" <td>1808</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>249000.00</td>\n",
" <td>0.70</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>106</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>131</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>1082</td>\n",
" <td>1</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>250000.00</td>\n",
" <td>6.10</td>\n",
" <td>131</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>107</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>132</th>\n",
" <td>46.000</td>\n",
" <td>0</td>\n",
" <td>719</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>107</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>133</th>\n",
" <td>63.000</td>\n",
" <td>0</td>\n",
" <td>193</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>295000.00</td>\n",
" <td>1.30</td>\n",
" <td>145</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>107</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>134</th>\n",
" <td>81.000</td>\n",
" <td>0</td>\n",
" <td>4540</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>231000.00</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>107</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>135</th>\n",
" <td>75.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>107</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>136</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>59</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>172000.00</td>\n",
" <td>0.90</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>107</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>137</th>\n",
" <td>68.000</td>\n",
" <td>1</td>\n",
" <td>646</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>305000.00</td>\n",
" <td>2.10</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>108</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>62.000</td>\n",
" <td>0</td>\n",
" <td>281</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>221000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>108</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>139</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>1548</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>211000.00</td>\n",
" <td>0.80</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>108</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>140</th>\n",
" <td>80.000</td>\n",
" <td>0</td>\n",
" <td>805</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.10</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>109</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>141</th>\n",
" <td>46.000</td>\n",
" <td>1</td>\n",
" <td>291</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>348000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>109</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>142</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>482</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>329000.00</td>\n",
" <td>0.90</td>\n",
" <td>132</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>109</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>143</th>\n",
" <td>61.000</td>\n",
" <td>1</td>\n",
" <td>84</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>229000.00</td>\n",
" <td>0.90</td>\n",
" <td>141</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>110</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>144</th>\n",
" <td>72.000</td>\n",
" <td>1</td>\n",
" <td>943</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>338000.00</td>\n",
" <td>1.70</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>111</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>145</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>185</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>266000.00</td>\n",
" <td>0.70</td>\n",
" <td>141</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>112</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>146</th>\n",
" <td>52.000</td>\n",
" <td>0</td>\n",
" <td>132</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>218000.00</td>\n",
" <td>0.70</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>112</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>147</th>\n",
" <td>64.000</td>\n",
" <td>0</td>\n",
" <td>1610</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>242000.00</td>\n",
" <td>1.00</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>113</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148</th>\n",
" <td>75.000</td>\n",
" <td>1</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>225000.00</td>\n",
" <td>1.83</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>113</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>149</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>2261</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>228000.00</td>\n",
" <td>0.90</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>115</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>150</th>\n",
" <td>72.000</td>\n",
" <td>0</td>\n",
" <td>233</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>235000.00</td>\n",
" <td>2.50</td>\n",
" <td>135</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>115</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>151</th>\n",
" <td>62.000</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>244000.00</td>\n",
" <td>0.90</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>117</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>152</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>115</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>184000.00</td>\n",
" <td>0.90</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>118</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>153</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>1846</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>119</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>154</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>335</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>235000.00</td>\n",
" <td>0.80</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>155</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>231</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>194000.00</td>\n",
" <td>1.70</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>156</th>\n",
" <td>52.000</td>\n",
" <td>1</td>\n",
" <td>58</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>277000.00</td>\n",
" <td>1.40</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>120</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>157</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>250</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>262000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>120</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>158</th>\n",
" <td>85.000</td>\n",
" <td>1</td>\n",
" <td>910</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>235000.00</td>\n",
" <td>1.30</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>121</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>159</th>\n",
" <td>59.000</td>\n",
" <td>1</td>\n",
" <td>129</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>362000.00</td>\n",
" <td>1.10</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>121</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>160</th>\n",
" <td>66.000</td>\n",
" <td>1</td>\n",
" <td>72</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>242000.00</td>\n",
" <td>1.20</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>121</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>161</th>\n",
" <td>45.000</td>\n",
" <td>1</td>\n",
" <td>130</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>174000.00</td>\n",
" <td>0.80</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>121</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>162</th>\n",
" <td>63.000</td>\n",
" <td>1</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>448000.00</td>\n",
" <td>0.90</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>123</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>163</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>2334</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>75000.00</td>\n",
" <td>0.90</td>\n",
" <td>142</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>126</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>164</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>2442</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>334000.00</td>\n",
" <td>1.10</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>129</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>165</th>\n",
" <td>80.000</td>\n",
" <td>0</td>\n",
" <td>776</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>192000.00</td>\n",
" <td>1.30</td>\n",
" <td>135</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>166</th>\n",
" <td>53.000</td>\n",
" <td>0</td>\n",
" <td>196</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>220000.00</td>\n",
" <td>0.70</td>\n",
" <td>133</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>167</th>\n",
" <td>59.000</td>\n",
" <td>0</td>\n",
" <td>66</td>\n",
" <td>1</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>70000.00</td>\n",
" <td>2.40</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>168</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>270000.00</td>\n",
" <td>1.00</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>169</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>835</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>305000.00</td>\n",
" <td>0.80</td>\n",
" <td>133</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>145</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>170</th>\n",
" <td>51.000</td>\n",
" <td>1</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.50</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>145</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>171</th>\n",
" <td>52.000</td>\n",
" <td>0</td>\n",
" <td>3966</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>325000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>146</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>172</th>\n",
" <td>70.000</td>\n",
" <td>1</td>\n",
" <td>171</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>176000.00</td>\n",
" <td>1.10</td>\n",
" <td>145</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>146</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>173</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>115</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>189000.00</td>\n",
" <td>0.80</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>146</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>174</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>198</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>281000.00</td>\n",
" <td>0.90</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>146</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>175</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>95</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>337000.00</td>\n",
" <td>1.00</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>146</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>176</th>\n",
" <td>69.000</td>\n",
" <td>0</td>\n",
" <td>1419</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>105000.00</td>\n",
" <td>1.00</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>147</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>177</th>\n",
" <td>49.000</td>\n",
" <td>1</td>\n",
" <td>69</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>132000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>147</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>178</th>\n",
" <td>63.000</td>\n",
" <td>1</td>\n",
" <td>122</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>267000.00</td>\n",
" <td>1.20</td>\n",
" <td>145</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>147</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>179</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>835</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>279000.00</td>\n",
" <td>0.70</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>147</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>180</th>\n",
" <td>40.000</td>\n",
" <td>0</td>\n",
" <td>478</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>303000.00</td>\n",
" <td>0.90</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>148</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>181</th>\n",
" <td>59.000</td>\n",
" <td>1</td>\n",
" <td>176</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>221000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>150</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>182</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>395</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>265000.00</td>\n",
" <td>1.20</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>154</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>183</th>\n",
" <td>75.000</td>\n",
" <td>0</td>\n",
" <td>99</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>224000.00</td>\n",
" <td>2.50</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>162</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>184</th>\n",
" <td>58.000</td>\n",
" <td>1</td>\n",
" <td>145</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>219000.00</td>\n",
" <td>1.20</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>170</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>185</th>\n",
" <td>60.667</td>\n",
" <td>1</td>\n",
" <td>104</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>389000.00</td>\n",
" <td>1.50</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>171</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>186</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>153000.00</td>\n",
" <td>0.60</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>172</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>187</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>1896</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>365000.00</td>\n",
" <td>2.10</td>\n",
" <td>144</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>172</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>188</th>\n",
" <td>60.667</td>\n",
" <td>1</td>\n",
" <td>151</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>201000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>172</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>189</th>\n",
" <td>40.000</td>\n",
" <td>0</td>\n",
" <td>244</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>275000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>174</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>190</th>\n",
" <td>80.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>350000.00</td>\n",
" <td>2.10</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>174</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>191</th>\n",
" <td>64.000</td>\n",
" <td>1</td>\n",
" <td>62</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>309000.00</td>\n",
" <td>1.50</td>\n",
" <td>135</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>174</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>192</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>121</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>260000.00</td>\n",
" <td>0.70</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>175</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>193</th>\n",
" <td>73.000</td>\n",
" <td>1</td>\n",
" <td>231</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>160000.00</td>\n",
" <td>1.18</td>\n",
" <td>142</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>180</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>194</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>126000.00</td>\n",
" <td>1.60</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>180</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>195</th>\n",
" <td>77.000</td>\n",
" <td>1</td>\n",
" <td>418</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>223000.00</td>\n",
" <td>1.80</td>\n",
" <td>145</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>180</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>196</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>185</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>197</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>167</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>259000.00</td>\n",
" <td>0.80</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>186</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>198</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>20</td>\n",
" <td>1</td>\n",
" <td>279000.00</td>\n",
" <td>1.00</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>186</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>199</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>1211</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.80</td>\n",
" <td>113</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>186</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>200</th>\n",
" <td>63.000</td>\n",
" <td>1</td>\n",
" <td>1767</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>73000.00</td>\n",
" <td>0.70</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>186</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>201</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>308</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>377000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>186</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>202</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>97</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>220000.00</td>\n",
" <td>0.90</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>186</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>203</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>1</td>\n",
" <td>212000.00</td>\n",
" <td>3.50</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>187</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>204</th>\n",
" <td>78.000</td>\n",
" <td>1</td>\n",
" <td>64</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>277000.00</td>\n",
" <td>0.70</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>187</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>205</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>167</td>\n",
" <td>1</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>362000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>187</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>206</th>\n",
" <td>40.000</td>\n",
" <td>1</td>\n",
" <td>101</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>226000.00</td>\n",
" <td>0.80</td>\n",
" <td>141</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>187</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>207</th>\n",
" <td>85.000</td>\n",
" <td>0</td>\n",
" <td>212</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>186000.00</td>\n",
" <td>0.90</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>187</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>208</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>2281</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>283000.00</td>\n",
" <td>1.00</td>\n",
" <td>141</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>187</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>209</th>\n",
" <td>49.000</td>\n",
" <td>0</td>\n",
" <td>972</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>268000.00</td>\n",
" <td>0.80</td>\n",
" <td>130</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>187</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>210</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>212</td>\n",
" <td>1</td>\n",
" <td>17</td>\n",
" <td>1</td>\n",
" <td>389000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>188</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>211</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>62</td>\n",
" <td>1</td>\n",
" <td>147000.00</td>\n",
" <td>0.80</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>192</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>212</th>\n",
" <td>78.000</td>\n",
" <td>0</td>\n",
" <td>224</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>481000.00</td>\n",
" <td>1.40</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>192</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>213</th>\n",
" <td>48.000</td>\n",
" <td>1</td>\n",
" <td>131</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>244000.00</td>\n",
" <td>1.60</td>\n",
" <td>130</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>193</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>214</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>135</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>290000.00</td>\n",
" <td>0.80</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>194</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>215</th>\n",
" <td>73.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>203000.00</td>\n",
" <td>1.30</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>195</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>216</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>1202</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>358000.00</td>\n",
" <td>0.90</td>\n",
" <td>141</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>196</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>217</th>\n",
" <td>54.000</td>\n",
" <td>1</td>\n",
" <td>427</td>\n",
" <td>0</td>\n",
" <td>70</td>\n",
" <td>1</td>\n",
" <td>151000.00</td>\n",
" <td>9.00</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>196</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218</th>\n",
" <td>68.000</td>\n",
" <td>1</td>\n",
" <td>1021</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>271000.00</td>\n",
" <td>1.10</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>197</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>219</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>371000.00</td>\n",
" <td>0.70</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>197</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>220</th>\n",
" <td>73.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.83</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>198</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>221</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>118</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>194000.00</td>\n",
" <td>1.10</td>\n",
" <td>145</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>200</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>222</th>\n",
" <td>42.000</td>\n",
" <td>1</td>\n",
" <td>86</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>365000.00</td>\n",
" <td>1.10</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>201</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>223</th>\n",
" <td>47.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>130000.00</td>\n",
" <td>0.80</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>201</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>224</th>\n",
" <td>58.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>504000.00</td>\n",
" <td>1.00</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>205</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>225</th>\n",
" <td>75.000</td>\n",
" <td>0</td>\n",
" <td>675</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>265000.00</td>\n",
" <td>1.40</td>\n",
" <td>125</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>205</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>226</th>\n",
" <td>58.000</td>\n",
" <td>1</td>\n",
" <td>57</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>189000.00</td>\n",
" <td>1.30</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>205</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>227</th>\n",
" <td>55.000</td>\n",
" <td>1</td>\n",
" <td>2794</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>141000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>206</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>228</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>56</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>237000.00</td>\n",
" <td>5.00</td>\n",
" <td>130</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>207</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>229</th>\n",
" <td>72.000</td>\n",
" <td>0</td>\n",
" <td>211</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>274000.00</td>\n",
" <td>1.20</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>207</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>230</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>166</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>62000.00</td>\n",
" <td>1.70</td>\n",
" <td>127</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>207</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>231</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>93</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>185000.00</td>\n",
" <td>1.10</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>208</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>232</th>\n",
" <td>40.000</td>\n",
" <td>1</td>\n",
" <td>129</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>255000.00</td>\n",
" <td>0.90</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>209</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>233</th>\n",
" <td>53.000</td>\n",
" <td>1</td>\n",
" <td>707</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>330000.00</td>\n",
" <td>1.40</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>209</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>234</th>\n",
" <td>53.000</td>\n",
" <td>1</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>305000.00</td>\n",
" <td>1.10</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>209</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>235</th>\n",
" <td>77.000</td>\n",
" <td>1</td>\n",
" <td>109</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>406000.00</td>\n",
" <td>1.10</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>209</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>236</th>\n",
" <td>75.000</td>\n",
" <td>0</td>\n",
" <td>119</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>1</td>\n",
" <td>248000.00</td>\n",
" <td>1.10</td>\n",
" <td>148</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>209</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>237</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>232</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>173000.00</td>\n",
" <td>1.20</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>210</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>238</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>720</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>257000.00</td>\n",
" <td>1.00</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>210</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>239</th>\n",
" <td>55.000</td>\n",
" <td>1</td>\n",
" <td>180</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.18</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>211</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>240</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>81</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>533000.00</td>\n",
" <td>1.30</td>\n",
" <td>139</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>212</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>241</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>249000.00</td>\n",
" <td>1.30</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>212</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>242</th>\n",
" <td>40.000</td>\n",
" <td>0</td>\n",
" <td>90</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>255000.00</td>\n",
" <td>1.10</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>212</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>243</th>\n",
" <td>73.000</td>\n",
" <td>1</td>\n",
" <td>1185</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>1</td>\n",
" <td>220000.00</td>\n",
" <td>0.90</td>\n",
" <td>141</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>213</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>244</th>\n",
" <td>54.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>264000.00</td>\n",
" <td>1.80</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>213</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>245</th>\n",
" <td>61.000</td>\n",
" <td>1</td>\n",
" <td>80</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>282000.00</td>\n",
" <td>1.40</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>213</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>246</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>2017</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>314000.00</td>\n",
" <td>1.10</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>214</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>247</th>\n",
" <td>64.000</td>\n",
" <td>0</td>\n",
" <td>143</td>\n",
" <td>0</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>246000.00</td>\n",
" <td>2.40</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>214</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>248</th>\n",
" <td>40.000</td>\n",
" <td>0</td>\n",
" <td>624</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>301000.00</td>\n",
" <td>1.00</td>\n",
" <td>142</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>214</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>249</th>\n",
" <td>53.000</td>\n",
" <td>0</td>\n",
" <td>207</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>223000.00</td>\n",
" <td>1.20</td>\n",
" <td>130</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>214</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>250</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>2522</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>404000.00</td>\n",
" <td>0.50</td>\n",
" <td>139</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>214</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>251</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>572</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>231000.00</td>\n",
" <td>0.80</td>\n",
" <td>143</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>215</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>252</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>245</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>1</td>\n",
" <td>274000.00</td>\n",
" <td>1.00</td>\n",
" <td>133</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>215</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>253</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>88</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>1</td>\n",
" <td>236000.00</td>\n",
" <td>1.20</td>\n",
" <td>132</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>215</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>254</th>\n",
" <td>53.000</td>\n",
" <td>1</td>\n",
" <td>446</td>\n",
" <td>0</td>\n",
" <td>60</td>\n",
" <td>1</td>\n",
" <td>263358.03</td>\n",
" <td>1.00</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>215</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>255</th>\n",
" <td>52.000</td>\n",
" <td>1</td>\n",
" <td>191</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>334000.00</td>\n",
" <td>1.00</td>\n",
" <td>142</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>216</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>256</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>326</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>294000.00</td>\n",
" <td>1.70</td>\n",
" <td>139</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>220</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>257</th>\n",
" <td>58.000</td>\n",
" <td>0</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>253000.00</td>\n",
" <td>1.00</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>230</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>258</th>\n",
" <td>45.000</td>\n",
" <td>1</td>\n",
" <td>66</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>233000.00</td>\n",
" <td>0.80</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>230</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>259</th>\n",
" <td>53.000</td>\n",
" <td>0</td>\n",
" <td>56</td>\n",
" <td>0</td>\n",
" <td>50</td>\n",
" <td>0</td>\n",
" <td>308000.00</td>\n",
" <td>0.70</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>231</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>260</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>66</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>203000.00</td>\n",
" <td>1.00</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>233</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>261</th>\n",
" <td>62.000</td>\n",
" <td>1</td>\n",
" <td>655</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>283000.00</td>\n",
" <td>0.70</td>\n",
" <td>133</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>233</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>262</th>\n",
" <td>65.000</td>\n",
" <td>1</td>\n",
" <td>258</td>\n",
" <td>1</td>\n",
" <td>25</td>\n",
" <td>0</td>\n",
" <td>198000.00</td>\n",
" <td>1.40</td>\n",
" <td>129</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>235</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>263</th>\n",
" <td>68.000</td>\n",
" <td>1</td>\n",
" <td>157</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>208000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>237</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>264</th>\n",
" <td>61.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>147000.00</td>\n",
" <td>1.20</td>\n",
" <td>141</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>237</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>265</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>298</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>362000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>240</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>266</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>1199</td>\n",
" <td>0</td>\n",
" <td>20</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.83</td>\n",
" <td>134</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>241</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>267</th>\n",
" <td>56.000</td>\n",
" <td>1</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>133000.00</td>\n",
" <td>1.70</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>244</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>268</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>302000.00</td>\n",
" <td>0.90</td>\n",
" <td>140</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>244</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>269</th>\n",
" <td>40.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>222000.00</td>\n",
" <td>1.00</td>\n",
" <td>132</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>244</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>270</th>\n",
" <td>44.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>1</td>\n",
" <td>263358.03</td>\n",
" <td>1.60</td>\n",
" <td>130</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>244</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>271</th>\n",
" <td>51.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>221000.00</td>\n",
" <td>0.90</td>\n",
" <td>134</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>244</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>272</th>\n",
" <td>67.000</td>\n",
" <td>0</td>\n",
" <td>213</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>215000.00</td>\n",
" <td>1.20</td>\n",
" <td>133</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>245</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>273</th>\n",
" <td>42.000</td>\n",
" <td>0</td>\n",
" <td>64</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>189000.00</td>\n",
" <td>0.70</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>245</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>274</th>\n",
" <td>60.000</td>\n",
" <td>1</td>\n",
" <td>257</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>150000.00</td>\n",
" <td>1.00</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>245</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>275</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>422000.00</td>\n",
" <td>0.80</td>\n",
" <td>137</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>245</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>276</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>618</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>327000.00</td>\n",
" <td>1.10</td>\n",
" <td>142</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>245</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>277</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>25100.00</td>\n",
" <td>1.10</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>246</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>278</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>1051</td>\n",
" <td>1</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>232000.00</td>\n",
" <td>0.70</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>246</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>279</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>84</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>451000.00</td>\n",
" <td>1.30</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>246</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>280</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>2695</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>241000.00</td>\n",
" <td>1.00</td>\n",
" <td>137</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>247</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>281</th>\n",
" <td>70.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>51000.00</td>\n",
" <td>2.70</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>250</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>282</th>\n",
" <td>42.000</td>\n",
" <td>0</td>\n",
" <td>64</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>0</td>\n",
" <td>215000.00</td>\n",
" <td>3.80</td>\n",
" <td>128</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>250</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>283</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>1688</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.10</td>\n",
" <td>138</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>250</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>284</th>\n",
" <td>50.000</td>\n",
" <td>1</td>\n",
" <td>54</td>\n",
" <td>0</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>279000.00</td>\n",
" <td>0.80</td>\n",
" <td>141</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>250</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>285</th>\n",
" <td>55.000</td>\n",
" <td>1</td>\n",
" <td>170</td>\n",
" <td>1</td>\n",
" <td>40</td>\n",
" <td>0</td>\n",
" <td>336000.00</td>\n",
" <td>1.20</td>\n",
" <td>135</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>250</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>286</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>253</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>279000.00</td>\n",
" <td>1.70</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>250</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>287</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>582</td>\n",
" <td>1</td>\n",
" <td>55</td>\n",
" <td>0</td>\n",
" <td>543000.00</td>\n",
" <td>1.00</td>\n",
" <td>132</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>250</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>288</th>\n",
" <td>65.000</td>\n",
" <td>0</td>\n",
" <td>892</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>263358.03</td>\n",
" <td>1.10</td>\n",
" <td>142</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>256</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>289</th>\n",
" <td>90.000</td>\n",
" <td>1</td>\n",
" <td>337</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>390000.00</td>\n",
" <td>0.90</td>\n",
" <td>144</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>256</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>290</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>615</td>\n",
" <td>1</td>\n",
" <td>55</td>\n",
" <td>0</td>\n",
" <td>222000.00</td>\n",
" <td>0.80</td>\n",
" <td>141</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>257</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>291</th>\n",
" <td>60.000</td>\n",
" <td>0</td>\n",
" <td>320</td>\n",
" <td>0</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>133000.00</td>\n",
" <td>1.40</td>\n",
" <td>139</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>258</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>292</th>\n",
" <td>52.000</td>\n",
" <td>0</td>\n",
" <td>190</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>382000.00</td>\n",
" <td>1.00</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>258</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>293</th>\n",
" <td>63.000</td>\n",
" <td>1</td>\n",
" <td>103</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>0</td>\n",
" <td>179000.00</td>\n",
" <td>0.90</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>270</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>294</th>\n",
" <td>62.000</td>\n",
" <td>0</td>\n",
" <td>61</td>\n",
" <td>1</td>\n",
" <td>38</td>\n",
" <td>1</td>\n",
" <td>155000.00</td>\n",
" <td>1.10</td>\n",
" <td>143</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>270</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>295</th>\n",
" <td>55.000</td>\n",
" <td>0</td>\n",
" <td>1820</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>270000.00</td>\n",
" <td>1.20</td>\n",
" <td>139</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>271</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>296</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>2060</td>\n",
" <td>1</td>\n",
" <td>60</td>\n",
" <td>0</td>\n",
" <td>742000.00</td>\n",
" <td>0.80</td>\n",
" <td>138</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>278</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>297</th>\n",
" <td>45.000</td>\n",
" <td>0</td>\n",
" <td>2413</td>\n",
" <td>0</td>\n",
" <td>38</td>\n",
" <td>0</td>\n",
" <td>140000.00</td>\n",
" <td>1.40</td>\n",
" <td>140</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>280</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>298</th>\n",
" <td>50.000</td>\n",
" <td>0</td>\n",
" <td>196</td>\n",
" <td>0</td>\n",
" <td>45</td>\n",
" <td>0</td>\n",
" <td>395000.00</td>\n",
" <td>1.60</td>\n",
" <td>136</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>285</td>\n",
" <td>0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>\n",
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"type": "dataframe",
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"summary": "{\n \"name\": \"data\",\n \"rows\": 299,\n \"fields\": [\n {\n \"column\": \"age\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 11.894809074044478,\n \"min\": 40.0,\n \"max\": 95.0,\n \"num_unique_values\": 47,\n \"samples\": [\n 79.0,\n 40.0,\n 67.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"anaemia\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"creatinine_phosphokinase\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 970,\n \"min\": 23,\n \"max\": 7861,\n \"num_unique_values\": 208,\n \"samples\": [\n 86,\n 379\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"diabetes\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ejection_fraction\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 11,\n \"min\": 14,\n \"max\": 80,\n \"num_unique_values\": 17,\n \"samples\": [\n 20,\n 38\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"high_blood_pressure\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 0,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"platelets\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 97804.23686859828,\n \"min\": 25100.0,\n \"max\": 850000.0,\n \"num_unique_values\": 176,\n \"samples\": [\n 297000.0,\n 255000.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"serum_creatinine\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.034510064089853,\n \"min\": 0.5,\n \"max\": 9.4,\n \"num_unique_values\": 40,\n \"samples\": [\n 4.4,\n 3.5\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"serum_sodium\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4,\n \"min\": 113,\n \"max\": 148,\n \"num_unique_values\": 27,\n \"samples\": [\n 133,\n 134\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sex\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 0,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"smoking\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 77,\n \"min\": 4,\n \"max\": 285,\n \"num_unique_values\": 148,\n \"samples\": [\n 215,\n 79\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"DEATH_EVENT\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 0,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
}
},
"metadata": {},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"source": [
"data.columns"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "seZbKtsnAJVK",
"outputId": "29b85a54-74a7-46b5-aaaf-0f1fb27d80cd"
},
"execution_count": 11,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"Index(['age', 'anaemia', 'creatinine_phosphokinase', 'diabetes',\n",
" 'ejection_fraction', 'high_blood_pressure', 'platelets',\n",
" 'serum_creatinine', 'serum_sodium', 'sex', 'smoking', 'time',\n",
" 'DEATH_EVENT'],\n",
" dtype='object')"
]
},
"metadata": {},
"execution_count": 11
}
]
},
{
"cell_type": "markdown",
"source": [
"In this project I will try to predict death event of the Heartfailure patient."
],
"metadata": {
"id": "433EaqnzBLm2"
}
},
{
"cell_type": "markdown",
"source": [
"**To make it easier for analysis, I will split our dataset into two categories - Categorical and Continuous.**\n",
"\n"
],
"metadata": {
"id": "p0z7ay1oDIuH"
}
},
{
"cell_type": "code",
"source": [
"categorical_variables = data[[\"anaemia\",\"diabetes\",\"high_blood_pressure\",\"sex\",\"smoking\"]]\n",
"continuous_variables = data[[\"age\",\"creatinine_phosphokinase\",\"ejection_fraction\",\"platelets\",\"serum_creatinine\",\\\n",
" \"serum_sodium\",\"time\"]]"
],
"metadata": {
"id": "velQdCCzCw4S"
},
"execution_count": 12,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**As, I will try to predict death event of the Heartfailure patient, I did not add death event in above cell.**"
],
"metadata": {
"id": "NeAip6Y3Fu3E"
}
},
{
"cell_type": "markdown",
"source": [
"**Notes for categorical data:**\n",
"\n",
"Anaemia : 0 = the person does not have anaemia, 1 = it does.\n",
"\n",
"Diabetes : 0 = the person does not have diabetes, 1= it does.\n",
"\n",
"High_blood_pressure : 0 = the person does not have high_blood_pressure, 1 = it does.\n",
"\n",
"Smoking : 0 = the person does not smoke, 1 = it smokes.\n",
"\n",
"Sex : 0 for female, 1 for male.\n",
"\n",
"DEATH_EVENT : 0 means heart failure is not the cause of the death, if 1 it is."
],
"metadata": {
"id": "SkGEFLd5Di03"
}
},
{
"cell_type": "markdown",
"source": [
"**Note: I have used the data from Kaggle, they ususally do not have missing value. But, to be sure I am checking the null value in below cell.**"
],
"metadata": {
"id": "9HrEz3GZGDyq"
}
},
{
"cell_type": "code",
"source": [
"data.isna().sum()"
],
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"base_uri": "https://localhost:8080/",
"height": 491
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"id": "a8AShej1Dlen",
"outputId": "1dc23c75-d8f6-4ccb-cb34-4dc380e33ec4"
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"execution_count": 13,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"age 0\n",
"anaemia 0\n",
"creatinine_phosphokinase 0\n",
"diabetes 0\n",
"ejection_fraction 0\n",
"high_blood_pressure 0\n",
"platelets 0\n",
"serum_creatinine 0\n",
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"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"age 0\n",
"anaemia 0\n",
"creatinine_phosphokinase 0\n",
"diabetes 0\n",
"ejection_fraction 0\n",
"high_blood_pressure 0\n",
"platelets 0\n",
"serum_creatinine 0\n",
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{
"cell_type": "markdown",
"source": [
"So, there is no null or missing value in the dataset."
],
"metadata": {
"id": "QJEl8E3rISEO"
}
},
{
"cell_type": "markdown",
"source": [
"Now I will analyze the descriptive statistics of the continuous variables."
],
"metadata": {
"id": "qGuSxwBLJbv1"
}
},
{
"cell_type": "code",
"source": [
"continuous_variables.describe()"
],
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"height": 300
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"id": "9TZ3g9vhHl-C",
"outputId": "630f64f4-d98c-41e4-8703-976ba4499fc8"
},
"execution_count": 15,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" age creatinine_phosphokinase ejection_fraction platelets \\\n",
"count 299.000000 299.000000 299.000000 299.000000 \n",
"mean 60.833893 581.839465 38.083612 263358.029264 \n",
"std 11.894809 970.287881 11.834841 97804.236869 \n",
"min 40.000000 23.000000 14.000000 25100.000000 \n",
"25% 51.000000 116.500000 30.000000 212500.000000 \n",
"50% 60.000000 250.000000 38.000000 262000.000000 \n",
"75% 70.000000 582.000000 45.000000 303500.000000 \n",
"max 95.000000 7861.000000 80.000000 850000.000000 \n",
"\n",
" serum_creatinine serum_sodium time \n",
"count 299.00000 299.000000 299.000000 \n",
"mean 1.39388 136.625418 130.260870 \n",
"std 1.03451 4.412477 77.614208 \n",
"min 0.50000 113.000000 4.000000 \n",
"25% 0.90000 134.000000 73.000000 \n",
"50% 1.10000 137.000000 115.000000 \n",
"75% 1.40000 140.000000 203.000000 \n",
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" <td>299.000000</td>\n",
" <td>299.00000</td>\n",
" <td>299.000000</td>\n",
" <td>299.000000</td>\n",
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" <td>60.833893</td>\n",
" <td>581.839465</td>\n",
" <td>38.083612</td>\n",
" <td>263358.029264</td>\n",
" <td>1.39388</td>\n",
" <td>136.625418</td>\n",
" <td>130.260870</td>\n",
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" <td>970.287881</td>\n",
" <td>11.834841</td>\n",
" <td>97804.236869</td>\n",
" <td>1.03451</td>\n",
" <td>4.412477</td>\n",
" <td>77.614208</td>\n",
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" <td>0.50000</td>\n",
" <td>113.000000</td>\n",
" <td>4.000000</td>\n",
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" <th>25%</th>\n",
" <td>51.000000</td>\n",
" <td>116.500000</td>\n",
" <td>30.000000</td>\n",
" <td>212500.000000</td>\n",
" <td>0.90000</td>\n",
" <td>134.000000</td>\n",
" <td>73.000000</td>\n",
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" <th>50%</th>\n",
" <td>60.000000</td>\n",
" <td>250.000000</td>\n",
" <td>38.000000</td>\n",
" <td>262000.000000</td>\n",
" <td>1.10000</td>\n",
" <td>137.000000</td>\n",
" <td>115.000000</td>\n",
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" <tr>\n",
" <th>75%</th>\n",
" <td>70.000000</td>\n",
" <td>582.000000</td>\n",
" <td>45.000000</td>\n",
" <td>303500.000000</td>\n",
" <td>1.40000</td>\n",
" <td>140.000000</td>\n",
" <td>203.000000</td>\n",
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" <td>850000.000000</td>\n",
" <td>9.40000</td>\n",
" <td>148.000000</td>\n",
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"metadata": {},
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]
},
{
"cell_type": "code",
"source": [
"data.groupby(\"DEATH_EVENT\").count()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 143
},
"id": "gNMG_nHoIPDV",
"outputId": "2ecd09f2-e9e1-4207-a86f-e30c617b61d4"
},
"execution_count": 16,
"outputs": [
{
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"data": {
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" age anaemia creatinine_phosphokinase diabetes \\\n",
"DEATH_EVENT \n",
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" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-56492d7d-2325-40a9-b6a5-6cfbc2a8025a button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"summary": "{\n \"name\": \"data\",\n \"rows\": 2,\n \"fields\": [\n {\n \"column\": \"DEATH_EVENT\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"age\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"anaemia\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"creatinine_phosphokinase\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"diabetes\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ejection_fraction\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"high_blood_pressure\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"platelets\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"serum_creatinine\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"serum_sodium\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sex\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"smoking\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 96,\n \"max\": 203,\n \"num_unique_values\": 2,\n \"samples\": [\n 96,\n 203\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
}
},
"metadata": {},
"execution_count": 16
}
]
},
{
"cell_type": "markdown",
"source": [
"**Note: It is clear that the dataset is unbalanced, because the total deaths(96) is less than half of the total persons that did not die because of heart failure (203).**"
],
"metadata": {
"id": "yP0Uv8h5LFsF"
}
},
{
"cell_type": "markdown",
"source": [
"Btw, [ ] = means series and [ [ ] ] = data frame. To visualize it has to be data frame"
],
"metadata": {
"id": "UpDosltmMH9e"
}
},
{
"cell_type": "code",
"source": [
"age = data[[\"age\"]]\n",
"platelets = data[[\"platelets\"]]"
],
"metadata": {
"id": "1QIumX_iKKPq"
},
"execution_count": 17,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#Visualizing the unbalanced data with a scatter plot, the colors will depend on DEATH_EVENT (0 or 1)\n",
"\n",
"plt.figure(figsize=(14,7))\n",
"plt.scatter(platelets, age, c = data[\"DEATH_EVENT\"], s=100, alpha=0.8) #c = color, s = size and alpha = darkness - of the dot\n",
"plt.xlabel(\"Platelets\", fontsize=20)\n",
"plt.ylabel(\"Age\",fontsize=20)\n",
"plt.title(\"Visualizing the unbalanced data\", fontsize=23)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 665
},
"id": "JuYNHn3xOMO9",
"outputId": "ec85105b-13d5-4de1-bbba-8d44876397d5"
},
"execution_count": 18,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1400x700 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
" **Note: There are more purple dots than in yellow. Purple = 0 , Yellow = 1**"
],
"metadata": {
"id": "U_CCWVtXQnGS"
}
},
{
"cell_type": "code",
"source": [
"# Relationship between all the variables of the dataset and DEATH_EVENT\n",
"plt.figure(figsize=(14,7))\n",
"sns.heatmap(data.corr(), vmin=-1, vmax=1, cmap=\"YlGnBu\", annot=True)\n",
"plt.title(\"Relationship between all the variables of the dataset and DEATH_EVENT\", fontsize = 23)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 798
},
"id": "MBd3_TyAOhvp",
"outputId": "7976fe36-1678-4b30-ee4a-9713e15a645e"
},
"execution_count": 19,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1400x700 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
"*Note:* *Here all the values are between -1 to +1*. *If they are closer to +1, that means they are correleted and positively correleted*.\n",
"\n",
"*And they closer to -1, that means they are correleted and negatively correleted*.\n",
"\n",
"*and 0 means no correlation.*"
],
"metadata": {
"id": "Irny8jT0TAIX"
}
},
{
"cell_type": "markdown",
"source": [
"**Now, There is a positive correlation between DEATH_EVENT and serum creatinine and age. And also a negative correlation between DEATH_EVENT and time, ejection fraction and serum sodium a little bit.**"
],
"metadata": {
"id": "Ij3jPcG5Ul50"
}
},
{
"cell_type": "markdown",
"source": [
"--------------------------------------"
],
"metadata": {
"id": "BkWu1F7hEAEj"
}
},
{
"cell_type": "markdown",
"source": [
"**Data Visualization**"
],
"metadata": {
"id": "91eCTczfD011"
}
},
{
"cell_type": "code",
"source": [
"categorical_data = [\"anaemia\",\"diabetes\",\"high_blood_pressure\",\"sex\",\"smoking\"]\n",
"continuous_data = [\"age\",\"creatinine_phosphokinase\",\"ejection_fraction\",\"platelets\",\"serum_creatinine\",\"serum_sodium\",\"time\"]"
],
"metadata": {
"id": "iEyj6CQuVZe6"
},
"execution_count": 20,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Plotting the impact of categorical variables on DEATH_EVENT. Here for loop was used to generate graphs for 5 categorical variables.\n",
"\n",
"plt.figure(figsize=(13,10))\n",
"for i,cat in enumerate(categorical_data):\n",
" plt.subplot(2,3,i+1) # code explained below\n",
" sns.countplot(data = data, x= cat, hue = \"DEATH_EVENT\")\n",
"plt.show()"
],
"metadata": {
"id": "jrQ-HWiWSMwL",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 850
},
"outputId": "9d7f8515-c7c7-4466-baea-6d91d4b8e8d6"
},
"execution_count": 21,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1300x1000 with 5 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# plt.subplot(2,3,i+1) means that in the output image there will be 2 rows and in each row there will be 3 figures. i+1 means where the figure will be placed. This code helps not to write the same code for 5 times.\n",
"\n",
"# For example:\n",
"\n",
"# In this code, they will show below output.\n",
"\n",
"plt.figure(figsize=(13,10))\n",
"plt.subplot(2,2,1)\n",
"sns.countplot(data = data, x= 'anaemia', hue = \"DEATH_EVENT\")\n",
"plt.subplot(2,2,4)\n",
"sns.countplot(data = data, x= 'diabetes', hue = \"DEATH_EVENT\")"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 867
},
"id": "xCJKNUJ8EbqM",
"outputId": "9596f114-28f2-40e7-aad9-c57a24a31ae5"
},
"execution_count": 23,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"<Axes: xlabel='diabetes', ylabel='count'>"
]
},
"metadata": {},
"execution_count": 23
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1300x1000 with 2 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# For Example 2:\n",
"\n",
"#For i+1 code:\n",
"for i,cat in enumerate(categorical_data):\n",
" print(i, cat)\n"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "7ftglbivHDCI",
"outputId": "4c3367cf-fa73-43c9-98d1-526a8ca66175"
},
"execution_count": 25,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"0 anaemia\n",
"1 diabetes\n",
"2 high_blood_pressure\n",
"3 sex\n",
"4 smoking\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# Plotting the impact of continuous variables on DEATH_EVENT using histogram.\n",
"\n",
"plt.figure(figsize=(17,15))\n",
"for j,con in enumerate(continuous_data):\n",
" plt.subplot(3,3,j+1)\n",
" sns.histplot(data = data, x= con, hue = \"DEATH_EVENT\", multiple=\"stack\")\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"id": "pebbCa3TIDD5",
"outputId": "9b62a547-ad69-4eef-b028-02b922f71127"
},
"execution_count": 26,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1700x1500 with 7 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Code explanation:\n",
"\n",
"for i,cat in enumerate(continuous_data):\n",
" print(i, cat)\n",
"\n",
" sns.histplot(data = data, x= 'age', hue = \"DEATH_EVENT\", multiple=\"stack\")\n",
"\n",
" # multiple = stack means it will not overlap."
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 570
},
"id": "Wp4Rt32EJ-1y",
"outputId": "baf982ec-bbe3-4214-c5d6-f0ed3682c41b"
},
"execution_count": 29,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"0 age\n",
"1 creatinine_phosphokinase\n",
"2 ejection_fraction\n",
"3 platelets\n",
"4 serum_creatinine\n",
"5 serum_sodium\n",
"6 time\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"#Using boxplot t0 get insight.\n",
"\n",
"plt.figure(figsize=(8,8))\n",
"sns.boxplot(data=data, x=\"sex\", y=\"age\", hue=\"DEATH_EVENT\")\n",
"plt.title(\"The impact of sex and age on the death event\", fontsize=22)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 727
},
"id": "4rZlZQcONcji",
"outputId": "ca45def9-d8c6-4481-8d73-6c67400a9c91"
},
"execution_count": 30,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 800x800 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Analyzing the survival status on smoking\n",
"\n",
"smokers = data[data[\"smoking\"]==1]\n",
"non_smokers = data[data[\"smoking\"]==0]\n",
"\n",
"non_survived_smokers = smokers[smokers[\"DEATH_EVENT\"]==1]\n",
"survived_non_smokers = non_smokers[non_smokers[\"DEATH_EVENT\"]==0]\n",
"non_survived_non_smokers = non_smokers[non_smokers[\"DEATH_EVENT\"]==1]\n",
"survived_smokers = smokers[smokers[\"DEATH_EVENT\"]==0]\n",
"\n",
"smoking_data = [len(non_survived_smokers), len(survived_non_smokers),len(non_survived_non_smokers),len(survived_smokers)]\n",
"smoking_labels = [\"non_survived_smokers\", \"survived_non_smokers\", \"non_survived_non_smokers\", \"survived_smokers\"]\n",
"\n",
"plt.figure(figsize=(9,9))\n",
"plt.pie(smoking_data, labels = smoking_labels, autopct='%.2f%%', startangle=90)\n",
"circle = plt.Circle((0,0), 0.8, color=\"white\")\n",
"p = plt.gcf()\n",
"p.gca().add_artist(circle)\n",
"plt.title(\"Survival status on smoking\", fontsize=22)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 761
},
"id": "uox1hKzIOEJK",
"outputId": "373eab02-e368-4c54-8e0b-5f7b01362f00"
},
"execution_count": 31,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 900x900 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Selecting only smokers who are dead\n",
"\n",
"smokers[smokers[\"DEATH_EVENT\"]==1]"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 990
},
"id": "URuD6n8hO_Rr",
"outputId": "e17c4a8c-8a0c-4466-da13-777c2e102038"
},
"execution_count": 32,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
" age anaemia creatinine_phosphokinase diabetes ejection_fraction \\\n",
"2 65.0 0 146 0 20 \n",
"5 90.0 1 47 0 40 \n",
"7 60.0 1 315 1 60 \n",
"9 80.0 1 123 0 35 \n",
"10 75.0 1 81 0 38 \n",
"11 62.0 0 231 0 25 \n",
"22 68.0 1 220 0 35 \n",
"25 80.0 0 148 1 38 \n",
"27 70.0 0 122 1 45 \n",
"29 82.0 0 70 1 30 \n",
"40 70.0 0 582 0 20 \n",
"41 50.0 0 124 1 30 \n",
"42 70.0 0 571 1 45 \n",
"45 50.0 0 582 1 38 \n",
"47 60.0 0 582 1 38 \n",
"54 60.0 1 260 1 38 \n",
"58 49.0 0 789 0 20 \n",
"59 72.0 0 364 1 20 \n",
"65 60.0 0 68 0 20 \n",
"67 72.0 1 110 0 25 \n",
"72 85.0 0 5882 0 35 \n",
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" const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n",
" if (!dataTable) return;\n",
"\n",
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
" + ' to learn more about interactive tables.';\n",
" element.innerHTML = '';\n",
" dataTable['output_type'] = 'display_data';\n",
" await google.colab.output.renderOutput(dataTable, element);\n",
" const docLink = document.createElement('div');\n",
" docLink.innerHTML = docLinkHtml;\n",
" element.appendChild(docLink);\n",
" }\n",
" </script>\n",
" </div>\n",
"\n",
"\n",
"<div id=\"df-64b31adf-9b4a-4190-89b9-7c828c7a3d44\">\n",
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-64b31adf-9b4a-4190-89b9-7c828c7a3d44')\"\n",
" title=\"Suggest charts\"\n",
" style=\"display:none;\">\n",
"\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
" width=\"24px\">\n",
" <g>\n",
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
" </g>\n",
"</svg>\n",
" </button>\n",
"\n",
"<style>\n",
" .colab-df-quickchart {\n",
" --bg-color: #E8F0FE;\n",
" --fill-color: #1967D2;\n",
" --hover-bg-color: #E2EBFA;\n",
" --hover-fill-color: #174EA6;\n",
" --disabled-fill-color: #AAA;\n",
" --disabled-bg-color: #DDD;\n",
" }\n",
"\n",
" [theme=dark] .colab-df-quickchart {\n",
" --bg-color: #3B4455;\n",
" --fill-color: #D2E3FC;\n",
" --hover-bg-color: #434B5C;\n",
" --hover-fill-color: #FFFFFF;\n",
" --disabled-bg-color: #3B4455;\n",
" --disabled-fill-color: #666;\n",
" }\n",
"\n",
" .colab-df-quickchart {\n",
" background-color: var(--bg-color);\n",
" border: none;\n",
" border-radius: 50%;\n",
" cursor: pointer;\n",
" display: none;\n",
" fill: var(--fill-color);\n",
" height: 32px;\n",
" padding: 0;\n",
" width: 32px;\n",
" }\n",
"\n",
" .colab-df-quickchart:hover {\n",
" background-color: var(--hover-bg-color);\n",
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
" fill: var(--button-hover-fill-color);\n",
" }\n",
"\n",
" .colab-df-quickchart-complete:disabled,\n",
" .colab-df-quickchart-complete:disabled:hover {\n",
" background-color: var(--disabled-bg-color);\n",
" fill: var(--disabled-fill-color);\n",
" box-shadow: none;\n",
" }\n",
"\n",
" .colab-df-spinner {\n",
" border: 2px solid var(--fill-color);\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" animation:\n",
" spin 1s steps(1) infinite;\n",
" }\n",
"\n",
" @keyframes spin {\n",
" 0% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" border-left-color: var(--fill-color);\n",
" }\n",
" 20% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 30% {\n",
" border-color: transparent;\n",
" border-left-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 40% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-top-color: var(--fill-color);\n",
" }\n",
" 60% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" }\n",
" 80% {\n",
" border-color: transparent;\n",
" border-right-color: var(--fill-color);\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" 90% {\n",
" border-color: transparent;\n",
" border-bottom-color: var(--fill-color);\n",
" }\n",
" }\n",
"</style>\n",
"\n",
" <script>\n",
" async function quickchart(key) {\n",
" const quickchartButtonEl =\n",
" document.querySelector('#' + key + ' button');\n",
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
" try {\n",
" const charts = await google.colab.kernel.invokeFunction(\n",
" 'suggestCharts', [key], {});\n",
" } catch (error) {\n",
" console.error('Error during call to suggestCharts:', error);\n",
" }\n",
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
" }\n",
" (() => {\n",
" let quickchartButtonEl =\n",
" document.querySelector('#df-64b31adf-9b4a-4190-89b9-7c828c7a3d44 button');\n",
" quickchartButtonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
" })();\n",
" </script>\n",
"</div>\n",
"\n",
" </div>\n",
" </div>\n"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "dataframe",
"summary": "{\n \"name\": \"smokers[smokers[\\\"DEATH_EVENT\\\"]==1]\",\n \"rows\": 30,\n \"fields\": [\n {\n \"column\": \"age\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 10.8238242970677,\n \"min\": 49.0,\n \"max\": 90.0,\n \"num_unique_values\": 17,\n \"samples\": [\n 65.0,\n 90.0,\n 62.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"anaemia\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"creatinine_phosphokinase\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1054,\n \"min\": 47,\n \"max\": 5882,\n \"num_unique_values\": 26,\n \"samples\": [\n 122,\n 68\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"diabetes\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ejection_fraction\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 11,\n \"min\": 20,\n \"max\": 60,\n \"num_unique_values\": 8,\n \"samples\": [\n 40,\n 25\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"high_blood_pressure\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"platelets\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 103892.12271747843,\n \"min\": 119000.0,\n \"max\": 621000.0,\n \"num_unique_values\": 28,\n \"samples\": [\n 200000.0,\n 221000.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"serum_creatinine\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1.601899160228331,\n \"min\": 0.6,\n \"max\": 9.4,\n \"num_unique_values\": 15,\n \"samples\": [\n 0.6,\n 2.9\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"serum_sodium\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 3,\n \"min\": 127,\n \"max\": 144,\n \"num_unique_values\": 13,\n \"samples\": [\n 127,\n 135\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sex\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 0,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"smoking\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 1,\n \"num_unique_values\": 1,\n \"samples\": [\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"time\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 56,\n \"min\": 7,\n \"max\": 241,\n \"num_unique_values\": 25,\n \"samples\": [\n 33\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"DEATH_EVENT\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 1,\n \"max\": 1,\n \"num_unique_values\": 1,\n \"samples\": [\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
}
},
"metadata": {},
"execution_count": 32
}
]
},
{
"cell_type": "code",
"source": [
"#Pie chart\n",
"\n",
"plt.pie(smoking_data, labels = smoking_labels, autopct='%.1f%%', startangle=90)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 614
},
"id": "INxppoc_PiNK",
"outputId": "7b410a29-639f-40d9-bd68-7c74a8fb6b71"
},
"execution_count": 33,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"([<matplotlib.patches.Wedge at 0x795dfcc27ad0>,\n",
" <matplotlib.patches.Wedge at 0x795dfcaae690>,\n",
" <matplotlib.patches.Wedge at 0x795dfcaafe90>,\n",
" <matplotlib.patches.Wedge at 0x795dfcaaf650>],\n",
" [Text(-0.3410177745934297, 1.045804416423714, 'non_survived_smokers'),\n",
" Text(-0.9658243170347182, -0.5264820876577098, 'survived_non_smokers'),\n",
" Text(0.9602393154328239, -0.5366008359079417, 'non_survived_non_smokers'),\n",
" Text(0.7031233830425759, 0.8459417877246419, 'survived_smokers')],\n",
" [Text(-0.1860096952327798, 0.570438772594753, '10.0%'),\n",
" Text(-0.5268132638371189, -0.2871720478132962, '45.8%'),\n",
" Text(0.5237668993269948, -0.2926913650406955, '22.1%'),\n",
" Text(0.3835218452959505, 0.4614227933043501, '22.1%')])"
]
},
"metadata": {},
"execution_count": 33
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Analyzing the survival status on sex\n",
"\n",
"male = data[data[\"sex\"]==1]\n",
"female = data[data[\"sex\"]==0]\n",
"\n",
"non_survived_male = male[male[\"DEATH_EVENT\"]==1]\n",
"survived_male = male[male[\"DEATH_EVENT\"]==0]\n",
"non_survived_female = female[female[\"DEATH_EVENT\"]==1]\n",
"survived_female = female[female[\"DEATH_EVENT\"]==0]\n",
"\n",
"sex_data = [len(non_survived_male), len(survived_male), len(non_survived_female),len(survived_female)]\n",
"sex_labels = [\"non_survived_male\",\"survived_male\",\"non_survived_female\",\"survived_female\"]\n",
"\n",
"plt.figure(figsize=(9,9))\n",
"plt.pie(sex_data, labels = sex_labels, autopct='%.1f%%', startangle=90)\n",
"circle = plt.Circle((0,0), 0.7, color=\"white\")\n",
"p = plt.gcf()\n",
"p.gca().add_artist(circle)\n",
"plt.title(\"Survival status on sex\", fontsize=22)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 761
},
"id": "_slCQGyXSv-E",
"outputId": "366206cf-5f64-4262-aabf-1644a76552dd"
},
"execution_count": 34,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 900x900 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Analyzing the survival status on diabetes\n",
"\n",
"with_diabetes = data[data[\"diabetes\"]==1]\n",
"without_diabetes = data[data[\"diabetes\"]==0]\n",
"\n",
"non_survived_with_diabetes = with_diabetes[with_diabetes[\"DEATH_EVENT\"]==1]\n",
"survived_with_diabetes = with_diabetes[with_diabetes[\"DEATH_EVENT\"]==0]\n",
"non_survived_without_diabetes = without_diabetes[without_diabetes[\"DEATH_EVENT\"]==1]\n",
"survived_without_diabetes = without_diabetes[without_diabetes[\"DEATH_EVENT\"]==0]\n",
"\n",
"diabetes_data = [len(non_survived_with_diabetes), len(survived_with_diabetes), len(non_survived_without_diabetes), \\\n",
" len(survived_without_diabetes)]\n",
"diabetes_labels = [\"non_survived_with_diabetes\",\"survived_with_diabetes\",\"non_survived_without_diabetes\",\\\n",
" \"survived_without_diabetes\"]\n",
"\n",
"plt.figure(figsize=(9,9))\n",
"plt.pie(diabetes_data, labels = diabetes_labels, autopct='%.1f%%', startangle=90)\n",
"circle = plt.Circle((0,0), 0.7, color=\"white\")\n",
"p = plt.gcf()\n",
"p.gca().add_artist(circle)\n",
"plt.title(\"Survival status on diabetes\", fontsize=22)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 761
},
"id": "rzfGp2IjTO0p",
"outputId": "73aa6386-f785-4e67-8866-70d08dfb27b0"
},
"execution_count": 35,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 900x900 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Analyzing the survival status on anaemia\n",
"\n",
"with_anaemia = data[data[\"anaemia\"]==1]\n",
"without_anaemia = data[data[\"anaemia\"]==0]\n",
"\n",
"non_survived_with_anaemia = with_anaemia[with_anaemia[\"DEATH_EVENT\"]==1]\n",
"survived_with_anaemia = with_anaemia[with_anaemia[\"DEATH_EVENT\"]==0]\n",
"non_survived_without_anaemia = without_anaemia[without_anaemia[\"DEATH_EVENT\"]==1]\n",
"survived_without_anaemia = without_anaemia[without_anaemia[\"DEATH_EVENT\"]==0]\n",
"\n",
"anaemia_data = [len(non_survived_with_anaemia), len(survived_with_anaemia), len(non_survived_without_anaemia), \\\n",
" len(survived_without_anaemia)]\n",
"anaemia_labels = [\"non_survived_with_anaemia\",\"survived_with_anaemia\",\"non_survived_without_anaemia\",\\\n",
" \"survived_without_anaemia\"]\n",
"\n",
"plt.figure(figsize=(9,9))\n",
"plt.pie(anaemia_data, labels = anaemia_labels, autopct='%.1f%%', startangle=90)\n",
"circle = plt.Circle((0,0), 0.7, color=\"white\")\n",
"p = plt.gcf()\n",
"p.gca().add_artist(circle)\n",
"plt.title(\"Survival status on anaemia\", fontsize=22)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 761
},
"id": "S80cBQ0STnAL",
"outputId": "f747775f-583f-41bb-aa51-030917c62f87"
},
"execution_count": 36,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 900x900 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"# Analyzing the survival status on high blood pressure\n",
"\n",
"with_high_blood_pressure = data[data[\"high_blood_pressure\"]==1]\n",
"without_high_blood_pressure = data[data[\"high_blood_pressure\"]==0]\n",
"\n",
"non_survived_with_high_blood_pressure = with_high_blood_pressure[with_high_blood_pressure[\"DEATH_EVENT\"]==1]\n",
"survived_with_high_blood_pressure = with_high_blood_pressure[with_high_blood_pressure[\"DEATH_EVENT\"]==0]\n",
"non_survived_without_high_blood_pressure = without_high_blood_pressure[without_high_blood_pressure[\"DEATH_EVENT\"]==1]\n",
"survived_without_high_blood_pressure = without_high_blood_pressure[without_high_blood_pressure[\"DEATH_EVENT\"]==0]\n",
"\n",
"high_blood_pressure_data = [len(non_survived_with_high_blood_pressure), len(survived_with_high_blood_pressure), \\\n",
" len(non_survived_without_high_blood_pressure), len(survived_without_high_blood_pressure)]\n",
"\n",
"high_blood_pressure_labels = [\"non_survived_with_high_blood_pressure\",\"survived_with_high_blood_pressure\",\\\n",
" \"non_survived_without_high_blood_pressure\",\"survived_without_high_blood_pressure\"]\n",
"\n",
"plt.figure(figsize=(9,9))\n",
"plt.pie(high_blood_pressure_data, labels = high_blood_pressure_labels, autopct='%.1f%%', startangle=90)\n",
"circle = plt.Circle((0,0), 0.7, color=\"white\")\n",
"p = plt.gcf()\n",
"p.gca().add_artist(circle)\n",
"plt.title(\"Survival status on high blood pressure\", fontsize=22)\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 761
},
"id": "-BjwPbDKTqqB",
"outputId": "45b7504d-145a-4566-89c7-c10ea9c5ad2b"
},
"execution_count": 37,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 900x900 with 1 Axes>"
],
"image/png": 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},
"metadata": {}
}
]
},
{
"cell_type": "markdown",
"source": [
"------------------------------"
],
"metadata": {
"id": "itjJxDjjT81z"
}
},
{
"cell_type": "markdown",
"source": [
"**Data Modeling and Machine Learning Based Prediction Using Continuous Data**"
],
"metadata": {
"id": "4SLeWUWGUTDX"
}
},
{
"cell_type": "code",
"source": [
"x = data[[\"age\",\"creatinine_phosphokinase\",\"ejection_fraction\",\"serum_creatinine\",\"serum_sodium\",\"time\"]]\n",
"y = data[\"DEATH_EVENT\"]"
],
"metadata": {
"id": "U5t7A8izTveG"
},
"execution_count": 38,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#We will have 30% for testing and 70% for training data\n",
"x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.3, random_state=2)"
],
"metadata": {
"id": "2crkv8iuUuIc"
},
"execution_count": 39,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Data scaling\n",
"scaler = StandardScaler()\n",
"x_train_scaled = scaler.fit_transform(x_train)\n",
"x_test_scaled = scaler.transform(x_test)"
],
"metadata": {
"id": "n8HMtPdPU7fJ"
},
"execution_count": 40,
"outputs": []
},
{
"cell_type": "code",
"source": [
" # A list to save all the values from different models accuracy for comparaison using a bar chart\n",
" accuracy_list = []"
],
"metadata": {
"id": "DyoHoi3EVHFm"
},
"execution_count": 41,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**First, Logistic Regression**"
],
"metadata": {
"id": "zF6siaOpVZFf"
}
},
{
"cell_type": "code",
"source": [
"lr_model = LogisticRegression()\n",
"lr_model.fit(x_train_scaled, y_train)\n",
"lr_prediction = lr_model.predict(x_test_scaled)\n",
"lr_accuracy = (round(accuracy_score(lr_prediction, y_test), 4) * 100) #For percentage\n",
"accuracy_list.append(lr_accuracy)"
],
"metadata": {
"id": "fIjoiII6VSV3"
},
"execution_count": 42,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**Second, Support Vector Machine (SVM)**"
],
"metadata": {
"id": "rolXK43PWFse"
}
},
{
"cell_type": "code",
"source": [
"svc_model = SVC()\n",
"svc_model.fit(x_train_scaled, y_train)\n",
"svc_prediction = svc_model.predict(x_test_scaled)\n",
"svc_accuracy = (round(accuracy_score(svc_prediction, y_test), 4) * 100) #percentage\n",
"accuracy_list.append(svc_accuracy)"
],
"metadata": {
"id": "aKtmH-Z1VgJL"
},
"execution_count": 43,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**Third, KNearestNeighbor (KNN)**"
],
"metadata": {
"id": "Vw4EHcSdWh75"
}
},
{
"cell_type": "code",
"source": [
"# Use this program to find the optimal value of k\n",
"knn_list = []\n",
"for k in range(1,50):\n",
" knn_model = KNeighborsClassifier(n_neighbors=k)\n",
" knn_model.fit(x_train_scaled, y_train)\n",
" knn_prediction = knn_model.predict(x_test_scaled)\n",
" knn_accuracy = (round(accuracy_score(knn_prediction, y_test), 4) * 100)\n",
" knn_list.append(knn_accuracy)\n",
"k = np.arange(1,50)\n",
"plt.plot(k, knn_list)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 447
},
"id": "3uFO5DCgWaJt",
"outputId": "43aa033f-de8c-4e43-f2b9-f86ab71f8cf4"
},
"execution_count": 44,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0x795dfcb57210>]"
]
},
"metadata": {},
"execution_count": 44
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
"image/png": 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nGQaG7PjIWUejasRrdEZRJnJSDejqH8KB8+ouD+44ZYYgOLayjjEN/7uVmwy7VQpE88LWAC471Yibi8UdQpzNJOUx+IgyYk+X8dkp0OsC+/WJMySXO/rQNxB8TQhxOrsiP01KYhUlG/SYNyFySwCjWVOnGHw4Zj7cEw0/DOBciRfwm4szkZ1qHPY194vEdpVnP6TZGA9T/1XOWYbdZ1rRP6heHZKDF9rQ1T+EnFQDZowope6+PKj2a3TbF97P1fyKXOi1Gpw1d+N8q+8bBLtdkH7Pno6lJHHmiH/PFA4MPqKMWCa9LCewZFMAyEoxIMOZn+Hvzc0XaQfBlDyPX4/kEsBoJi27OGc+ANcb+85T/kuRb/WyjCAS75y3qniHer61B2fN3dBrNZhfcX11zSlj0lFoSkTfoA176+VtIw2FtB25Mt9jt+eqCOwQ6h+0SVtpPf3tpCcm4LYyxw4hfzNFJ690otliRYpBJ+0qChfxXO2rb0UXCwiSwhh8RJlzrYH1dBlJDFbEGiFyDQzZsavOsUTg7Y5rkXMt+1hjB8xdytQUiQUjl10A4JbxmTAlJaC9dxBHLnZ4/d6u/kHsq3fV0fBEDErUvEi4V9dM91BdU6PRqH7n7F5Hw1ugNm9iDox6LS6196GuWX6V2WB8crYVfYM2FJoSMWWM5xwNMQ9kq5/AXTzvd0zKhVGvU3agI5TnpqA0x1FAUG4dEiJ/GHxEmUB7uowUat7H/vPX0GUdQk6qEdPHZXh8Tn56IqaPMzkSDblOLGn2EHzodVrXDiEfF5zdZ1oxaBNQmpMi7VoaqTw3FWU5YpVZdS4SUt7BZM+zYI6vibMMZlXa2Z9q6sLljj4Y9VppCXAk9+VBtfJR3JOFveVoiHVIxE7F3kizYGFecgHE5UFXwTEiJTH4iDLijpVAt9mKQu3x4lqzzoPWw3S2iEsvw/UP2tDe65iNEHM+RIFs/XQ/776SC9XcGtneM4BDzsRjX3UmZpdlIdWoR0uXFScud4Z9XOK5un1iDpIM3mcFqlRcpnLvg+QrYCjKSkZlQZrPTsWNbb2ovWqBVgMpcA03ccyjpVMxxQ4GH1Gkd2AIV53Ji97ugr0pC6HWh6O6prOeg5+iRmJjsd1nWkNKbo0VYkt3g14LU9Lw5Yn5FY5S5OdaezwGhe4dUBdPKfD5c6rcilWF+yKxs84MuwBMHpOOcZnJXp9n1OukfBA17px9JcC6E5cHjzd2SLNS4XLicidauqxINeqlvA5v7vITQIqJpreUZCEzxaDsQL24eXwmMpMTRk2nYoodDD6iiBg4OBJI5b35uAqNdctOtKu96pjOTkzQ4kteprNFFflpGJfp6Fch9vyIZ+LFrSA98bqZi1SjHreVe080dO+AelNxhs+fc1NxBjKTE9DZN4hDYb5ISGXefSy5iBarNBPWbOnH8UuO2ZWFfsaVl5Yo7YSRU2U2GOLvVeyD5Is4I+OtU7F0A6DCkotIr9PizgjtEKLYxuAjikjJpjJ2uoiKs1Kg02rQM2CDuUte1UlXdc1cqbqmN6H0q4hFzRZxp4vR49fFC7inN3bxc3dW5vndVu1+kQjnebcO2VyJxwGU9l5QkatKO3sxiJhRlIG8tEQ/z5ZfWyNYrkDN/7m6odAkdSreV39t2Ncs/YP49Jzjc+Eoqe6L1Kk4gj2EKPYw+IgiYo0PufkegGPavzgredhxAiXnDRRwvbFvP9WsSqLhaDaytPpIYqLh4YvtuOZWilwQBCmpM+DzrsJF4tNzbegZsCE/3YgbCk1+n5+RbMCtJeFvZy+3vbwYIAfbzj4QjW29ONXU5eiD5GE78ki+2tnvqmvBkF2QdqCoSexU3HCtV5EqyUQAg4+o4tpmG9ybjzhjUi+j1kdTZz9OXOqERgPpztqfWc5+Fa3dAzja2BHMUGOGtNPFy914YUYSphZeX4q8vqUbDW4dUANxh9tF4myYqsyKDc0WTc73mXjsTiq9H6YZmR7rkLTEF2jwIbazHwiinX2gxH/vrSWZAS+TSstUX5iHBZDeyuurYXinYu5iI2Uw+IgiUoGxIGY+HN/nyvsIlPimN7MoA7lpnpcORkrQabGgwv820ngg5XyYvJ87TzuEPHVA9SfFqMfcCc6LRBjOuyAIUuNAOXkHYkCw/3wbOnuVr0Oy+0wrBobsKM5KxsS8wP421FgeDDQB1t2c8mwkG3Rosrg6FQ/a7NjpoYGfmthojpTG4CNK2O1C0DU+RMHU+nBNZ/vebTGStKYe53kfrpwP73kI4rn6+LSrFLncZQRROC+on1+xoMnSj2SZ1TXHZ6dgUn4qbHYBH51W/s7Z/SIvp9eJeG7ltrMPRGfvIPY7+8fI+R0mJuhwx0THTJc4c3LwQhss/UPITjFgprOUvtoi3amYYg+DjyjRZOlH36ANeq1Gyt2QS26tjx7rEPaedSS5LfZSUt2b+ZMc/SrOmLtxIYSS7tGu2Vnp1VcS5NTCdIxxliLfV39tWAfURQHsKHEnPv9oY4e0zVcp4sXwjgASj0dyLzimJJtdkJarvJX99+bWkiykO9vZH72o7A4hsQ/SpPxUjM+Wd7MwcpZBPO8LK/M8loxXwxhTEqaNNUWsUzHFHgYfUUKcrSjOTr6ug2igxBmTyx19ATX72n2mBQM2O0qyk2UnuZqSEjC7zNFmPZ6nas1+drsA1zea21HrvQOqP+4XiZ0KXyRCyTsQv+ejOjMGhpSrQ3L0YjvaegaQnqjHrSVZsr43wX0bqcKv0UAKi3lzZ0UutM5OxZc7+iKa7+Eu3Lk7FF8YfEQJsSdLWU5w+R4AkJ1iQHqiHoIAXLjmfzZCzDuQO50tivdqp93WIXRbHTspfC27AK4Ly/baZnzoTOoMtoR2lduuF6Vc6ejD51cc1TXvDGDnxkgzxmVI7ewPXlCunb34b7yzMi+ooDwcy1QDQ3Z8VOe7GaAv2alG3DzesbzybzvPorGtDwa9FrdP9F1jJ9xcnYpbVO1UTLGJwUeUEGc+yvOC32an0WhQnhdY3odjOju0Oy7xjf3ghXZ09HrvVxGrxGTTNKMeKX6SRm8ry0KKQQdzlxXbg1xGEIXjIiFW17x5fCayUwNLPHan1WqwqFL5O2dfreoDIbazr2/pkZWI7cvBC23o6h9CTqoBM7z0QfJH/Pe8deAiAGDehBwkGwJLPA4XsVNx/6Adn7CAIIWIwUeUkHq6hDDzAbhmTvzV+jjc0I723kFkJCfglvHBJbmJ/SpsdsFrv4pY5qrx4f9i7V6KXBCAsRlJXjug+jNlTDrGZiShf9COPQptI/0wxIs8gGFdbpWoQ3KupRv1LT1I0GmkcyfXsHb2Cs0UicHVosrAtyOPJJ4r8TSp0UjOH/dOxfE6m0nKiWwoHcUutPYgM9kAU/L17cTlsNsFHLzQJk3Pe1PX5Gj/HexOF5H4/fvPt2GKjzeQ/z52BQCwsMJ/dU1fFk/Jx6mmLvzx8CWPrdfdmZIScPP4zKCWeNy1dFlx4lJHSMdwN22syWuRMF/MAex0cbd4Sj7+5zNxycV3IzlfxG6kNfsa8M7BRoR4OjFkF6TqmnJ337ibNyEHiQlaXO7owzsHG5EX4NZtb8SA9raybL+vLV8WT8nHnrOteP/4laAK+I304edN0nGDVZ6birLcFGmG0lf3YDVVTc7Hb/c1YFutGS/ahaCDq3A4a+5Gbprxuh5KcgmCgJOXLagckxZ0fh35x+AjCI1tvah6dRduKs7Eu9+ZE9Kx/nC4ET/802cBPz/YGh8i8c11z9nWgHqvhJrkVjU5H5t2nMUnZ6/hk7PX/D7/3x69CfdOGxP0zxMEAY/8n32oD6KBnjdjM5Kw54d3yg4GpAJjAQYfd1Y4djPY7ELo531KPmr2NWBbbbNid6lluSkhvf6SDDrMm5CLbbXNWPdfgb/m/Ql1VmDR5Dw89/7nOHnZgm/WHFJkTIH0QfJn8eR8/HvLOUwvyggq+A0H907Fxy91RGzr70gnLnXgvl9/gjnl2XjzW7eFdKy3DlzEj947iScXlONf7qlUaIQ0EoOPIJw1d2PILuDAhTY0tvWiKMitrwDw/nHHDMP47GS/VRBvn5CDrBC7Wc6flIt7pxXgcof/bp7js5Jlb/Uc6cZxJqyYMx7HLvluqX6t24pL7X14/9iVkIKPL65apKn4KQGU//bnxKUOXO7oQ0uXVfYFoEnGsgvgKEX+o3sn42JbL+aWh3bhmlOWjYduGYe6ZmXyGPRaDb59R1nIx3lq4QR09Q+iX6EdL3lpRtw3c2xIxxiXmYynF07ALoWWqDQA7p85FkkGeduRR/rmvFJcbOvF1+eUKDIuJYjLg385cRVbv2geNcHH+8euwC4An5y9hmZLf8ABvyfvHbkMANhy9DLW3F0R8kwsecbgIwiWfleVxg+/aMY355UGdZzOvkHsP+fI/H/j8Vmq9GxIMujwb4/eHPafI9JoNHh++Q1+n3fiUge+8qtP8LEzSVJuHQmRuN6+oCIP//frtwR1DHfz/3Wns6dFj+zgQ1x2KZDxfSuDfC2NpNdp8fID0xU5lpJmFGXg90+ENlsYDt+/qwLfv6si0sMYJi89Ea/9g3p/q4FaPDlfCj5Gw8yAex8kwPEe8A+3jQ/qWK3dVhx21ny50umoMnvD2NBvYuh6XNAKgqXflZ8Ryha9j+rMGLILmJCXqnqzqNFm2lgTCtIT0euho6ccwVYG9aZcZmE2d3KXXYiigbg8OFoKCJ41O/ogiUJZZtxxygz3XGjWNAkfBh9BsPS5Zj4OXGgLehup+MJW6kIZzRyZ9I4lng+D/IO/0tGHk5cdtSgWBdgEzx+xGZ+ckvQisbqprwJjRNHGlJyA2aWjp4Cg+H4hJtPvPXvNbwK/N1tHHIvBR/gw+AiC+7JLsNtIB4bs2FXXAoDBh0jsH7Otthn2IHptbAuxFoUnYl0UuTMfgiBIfV18lVYnikbie1awNwpKEgOEb80rQ0l2MgZsdnx8ukX2cfoGbNh9xvF9/99XboBW48ghu9Te6+c7KRgMPoLQ5Vx2SXLmJQQTHX967hq6rEPITTMGXYgo1tw2IpNernDMJEkzH63ygo+O3kGpjHigCadE0UL8Gzt0oQ1tPZErIGi29ONYYwcAx3bkxVOCL2S352wr+gftGJuRhC9NyMYt452zO6MgwIpFDD6CIC673HOD4059V10LrEPyKklulYo25Y2qvfKR5F5oS+6bh6V/0K0WhbwOvL6IMx+X2gPrhyMSl1yyUgww6kPb9UA02ozLTMbkMemwR7jRnNhDZ4ZzO7L4t7/jlBmDNnk7qrZ+4arPotFoXIHMKFhaikUMPoIgJpzOLc9GfroRPQM27JWRJCkIguKJkbHiriDvXD6qa8GgTUB5boqiybty++GIXEsunPWg2OSaZWiK2BjcAwbAseSalWJAZ9+grB5CNruA7c5ARjyW+N/959rQ6ZbnR8qQFXzYbDasX78epaWlSEpKQnl5OV544QWvpZK/853vQKPRYOPGjUqMddQQZz5MSQlYFESnx5OXLbja2Y+kBF3I9RxizYJJwWXSu5ZclJv1AByJsGJhLTlJp9zpQrFusfO97+PTrRFpNNdjHcInzps+8aZFp9VgodipWMZ78tGL7bjWM4C0RD1mOZNpS3JSMDEvFUN2QWoUSMqRFXxs2LABr732Gn71q1+htrYWGzZswMsvv4xNmzZd99z33nsPn376KQoLCxUb7GghJpymJyVI0fG2LwJPkhSj9Tsm5QRdzyJWuWfSB/rmMTBkx0enht+1KEnabuunH4675k7udKHYdsPYdIwxJaJv0Ia99eo3mtt9pgUDQ3aMz07GhDxX5d0qtxvCQHsIie81d1YM745cFUIOCfkmK/jYu3cvli9fjqVLl6KkpAQPPPAA7rrrLhw4cGDY8y5fvozvfve7ePPNN5GQEFqd/dFITDhNT0zA3PJsqRvpZ5d9V/EUbZWm95S9S48VctdaD5xvQ5d1CDmpRswsylB8POK2u3MyZmLEnA85BcaIoomjh1DkLs7iTpvFk/OHVSG9Y1IOjHotLrX3oa65K6BjbfWyDC5+vKuuRUogJ2XICj7mzp2L7du34/Tp0wCA48ePY8+ePViyZIn0HLvdjsceewxr1qzB1KlT/R7TarXCYrEMe4x24rJLepJedpJkY1svaq86alEsVKgWRayRm0kvziSFK3k3mEJjUs4Hgw+KYdLMb605qO3xwRqy2aVE15EBQ7JBj3nOvjpbP/f/nlzf0o1zzpYMC0Z0R54xLgO5aUZ0WYekhHZShqzgY+3atXjkkUdQWVmJhIQEzJw5E6tXr8ajjz4qPWfDhg3Q6/V4+umnAzpmdXU1TCaT9CgqKpL3L1BZ/6ANVmcEnO7snihne5eYaHpLSVbIfVpilZxMekEQwl6srTzXVWgs0GlcM3M+KA7cVpaNNOf2+GMKdpL251BDOzp6B5GZ7OiEPZKc2VPx/eO2smykjeiOrNVqpI7CXHpRlqzg491338Wbb76Jt956C0eOHEFNTQ1eeeUV1NTUAAAOHz6MX/ziF3jjjTcCbsazbt06dHZ2So/Gxkb5/woViUsuGg2QanC0xhHLDdc1d+HiNd8FacQX8F3c5eJToJn0n1+x4IozeTfULqLeFGcnQ6fVoNs6hJYua0DfI858MOeDYplBrw16e3woxJ+1sDIfeg9t7xdNzodGA5y41ImmTt9NNP29J7tmdwLPISH/ZAUfa9askWY/pk2bhsceewzPPPMMqqurAQC7d++G2WxGcXEx9Ho99Ho9Ghoa8IMf/AAlJSUej2k0GpGenj7sMZp1OZNNU416aYo/I9mAWSWOJMkPfVwsO3sHsf+8Y/sXt9j6Jr4R+MukF984bp8YvuRdo16HoswkAMDZAJZebHYBLd3ym8oRRaNQCnsFI5DZztw0V/6Xr9mPli4rjjgbyVV5Odbc8hwkG3S42tmPk5dHf1pAtJAVfPT29kKrHf4tOp0OdrtjGeKxxx7DiRMncOzYMelRWFiINWvW4H//93+VG3UEWdySTd0FkhW9s84Mm13AxLxUjM+O70Zy/kwtdGXSf3LWeya9Wv1x5Gy3vdZthc0uQKuBYmXeiUarBRV50Gs1OGvuxnkVGs2dbu7GxbZeGPRa3DHJ+2ynmNDv6z15x6lmCIKjseUYU5LH5yQm6HDHRHF2J3I1TWKNrOBj2bJlePHFF/GXv/wFFy5cwHvvvYdXX30V999/PwAgOzsbN9xww7BHQkICCgoKUFExutpVB8uVbDo8+BDv1A9eaEO7lyRJNpILXCCZ9Jfae/GFM3lXrLcSLmLeRyBJp+KSS26aETpWr6UYZ0pKwOwy9UqRi3lz8ybkINm59O3JYmejyn31rdKM9UiuStO+3z+km8ta1vtQiqzgY9OmTXjggQfw5JNPYvLkyfjnf/5nPPHEE3jhhRfCNb5RR6zxkZY4/EVflJWMyoI02AV4bDRnHbJh12k2kpPDXya9WJHwlvHhT96VM/PBAmMUbxaruOX2wwBv4spzU1Gak4JBm4CPT18/e+poJNca0LEWVuZBqwFqr1rQ2MZGc0qQFXykpaVh48aNaGhoQF9fH+rr6/HTn/4UBoP3N/4LFy5g9erVoY5z1OjysuwC+F77/PRcG7qtQ8hLM2I6G8kFRMykb+32nEkv3bVMCf+WZTnbbcUaH+xmS/FCnBk41BDeRnPNln4cb+yARgMsmuz7735YfxYPyyW7z7TAOuRoJDd5TJrPY2WlGHCLM69vG3u9KIK9XWRyr/ExklSQ5nTLdUmS4ot/0eR8NpILkK9M+s6+8DSS80YsNHa5w3+DObG6aYGJ+R4UH8ZlJmOKc3v89jBenMUL/4yijICCe/E92VOjOfdl8EB2Zwbbd4o8Y/Ahk1Ra3cPMx7SxJhSkJ6J3wIZ9bo3mBEHAti8cSwTcYiuPt9mkj+rMGLILmJCXqmgjOW+yUwwwJSUE1GBO2mbLmQ+KI2rsepGbN3dTcSayUwyw9A/h4HlXozmbXZBqCAX6niw1mjvfhs5eNpoLFYMPmSx94rLL9TMfGo1GWgL40O0P8LPLnWiy9CPZoMOc8mx1BhojvGXSq52862gw50w6NfsJPrqY80HxR/xb3H0mPI3muq1D2Ht2eCM5f9wbzbm/Jx9xNpJLT9TjVmcvKX/GZ6dgUn4qbHbBY14fycPgQyb3pnKeiFnT22pdjebEC+UdE3PZSE4m90x6celqYMiOXXXqJ++W5YhJp77zPlyl1bnsQvFjamE6Cp3b4/ecUb7R3MenWzBgs6M0J0XKwQqE+4yMWCTMVaRseCM5Ocei0DD4kMlXwikAzCnPRqqz3PBxZ5Ikt9iGZmQm/afnrkmN5GaomLxbnhfYdlvudqF45Jj5dd18KW2btC02L+AK2gAwb6Kj0dzljj7UXu0aVqTMW2Exb8Sby12nW2AdUn52J54w+JDJV8Ip4KiGOX+SI0lyW20zGtt6caqpa9j0H8kjvkEcbmjHtW6r9MYWrkZy3kgzHz4KKVmHbFK2P6ubUrwJV6O5IZsdO+qC6waebNDj9ok5znE1o76lB+dbHY3kxPfqQE0fl4G8NCO6rUP49Fyb/28grxh8yOQr4VTkPjUnRti3jM9EJhvJBWVYJv0ps3QHpPZM0gRx5sPc7bXHg9j7xaDTIiPZ+2uEKBbNLnVtjz/a2KHYcQ9ecDSSy0oxeGwk54+n9+Q55TnXNZLzR6vVSAUNWe00NAw+ZBITTn29aMVGc6ebu/H/Pm0AwCWXUInn77WP6sPeSM6b4qwU6LQa9AzYYPbSYM4930PO1DBRLDDotVhQqXwXWPccjWCqBi+sdDSa++xyJ35/8CKA4N+TxWTXbV+Y2WguBAw+ZOrq973sAgCm5ATMdmZQizs07lKhFkUsE98oxPN5x6TwNZLzxqDXojgrGYD3vA8z8z0ozgXakTpQgiBga23TsGPLlZtmxE3FjhmTC87O44uDbMkwpzwbyQYdmiz9+OxyZ1DHIAYfsgzZ7OgZcCQZ+Vp2AYb/kVTkp6E4OzmsY4t1UwvTMTbD1fhJjcJinpTliEmnnvM+mpzBB/M9KF4tqMhFgk6D+pYevzvDAlHX3IXGtj4Y9VopdyMY7u/JN44zocAU3N9oYoIrr4+7XoLn/fadriPudAGu7+0yUtXkfDz/5y8AcMlFCY5Gc3mo2dcArQYRS94ty03B9lPet9tymy3Fu/TEBNxWlo3dZ1qxYvMBmLyUJQhUe49jtvn2ib4byfmzeEo+XvrrKcf/h9iIcvGUfPz1ZBPe+OSCqjU/ynJS8cqD02HQR/+8AYMPGcRk02SDDno/e8OLspIxqzQLRy+248vTx6gxvJj3lRlj8f8+bcCdFXlhbyTnjavHi+eZDy67EAHLphdi95lWNLb1oRF9ih0zFOW5qZhelIHaqxbce2No78kLK/OQatSjyzqEk5ctIR1LjpOXLfjyjWNw19ToX8Zn8CGDq7ppYJH8//36LejoHcD47PCX/44HN4/PxPYfLEBuWuRmFVzdbb3MfEjVTTnzQfHrgZvGoTw31Wsre7nSkxIwsygj5OP89vFZsPQPoigrtGXwjGQD/vq92wNqNKmUPx6+hA9OXMW22mYGH/EmkGRTd6akhJCnHGk4Nfq4+FI+osHcyKRX9nUhcmxJDWZLbLiZkhNgUmgLfFFWcshBjBwGnRYfnLiK7bVm2OxCULt+RpPoXzhSUSA1Pii2Zbk1mDvvodiY2NE2P8hkNiIiT24tzUJ6oh7XegZw9GJ7pIcTMgYfMkjLLpzNiFsajUaa/Tg3Iu+jxzqELqvjNcKcDyJSUoJOKyXax8IuGwYfMogzH/52ulBsK5OSToev94qFx1IMOqQa+RohImWJJQYYfMQZi5+mchQfyqSZj+HBBxvKEVE4za/IhUGnxbnWHpw1q5fsGg4MPmTw11SO4oO37bYMPogonFKNetxWng0g+mc/GHzIwIRTAuCW8zG8wZwr+OA2WyIKD6XL10cKgw8ZAmkqR7HPvcGcuLUWcNtmy5kPIgoTsTrr0cYOqYt2NGLwIYNFZp0Pik3uDebc8z7EmY88Bh9EFCYFpkTcOM4EQQB2nIrepRcGHzJ0MeGUnMSlF/cdL2Zp5oPLLkQUPuLsRzTnfTD4kMGVcMrgI96VeUg6FUurs6MtEYXT4qmO4GP3mVb0Dgz5efboxOBDBtb5IFGZs8z7OWeVU0EQ0NTJ3S5EFH4V+WkoykqCdciO3WdaIz2coDD4CJDdLqDbymUXcijPc858OPfaW/qGYB2yA0BEG98RUezTaDSoivKlFwYfAeoeGIK4q5IzHyTOfFzp7EPfgE1acslITriu2RwRkdLELbc7TjkazUUbBh8BEvM9jHotLy6ErBQDMpJdDeakGh/sZktEKphVkgVTUgLaegZwuCH6Gs0x+AgQm8qRO41G45b30e3K92A3WyJSgd6t0dy22uhbemHwESAmm9JIUpl1c4/UVC6f+R5EpBJXtdPmYdWWowGDjwCxxgeNJG63Pdfazb4uRKS6OyY5Gs2db+25rsv2aMfgI0Cs8UEjubrb9rCvCxGpLtWox9wJjkZzH0bZrhcGHwFyNZXjsgs5iMsu51q60cS+LkQUAe5LL9GEwUeA2FSORirOSpYazJ26agHA4IOI1CXW+zjW2AGzc8t/NGDwESA2laORDHotxjsbzIkFxhh8EJGa8tMTMd3ZaG57rTnSwwkYg48AdUnLLpz5IBcx7wMANBogJ9UQwdEQUTwSl162RdHSC4OPALHOB3ki5n0AQE6qEXod/6SISF2LpxQAAPacjZ5Gc3ynDBATTskT95kPdrMlokiYlJ+K4qxkWIfs+Ph0dDSaY/ARIAuXXciDMreZD26zJaJI0Gg0UbfrhcFHgKQiY0w4JTfuyy55nPkgoghxNZprxpDNHuHR+McraYCkImOc+SA3YoO5jt5BNpUjooi5ZXwmMpIT0N47iDf2XkCxcyeeN1qNBlXOgCUSGHwEQBAEWPqZcEqeleem4nBDOwpMXHYhosjQ67RYWJGH/zp6GT/9S63f5xv0Wpz+6RIVRuYZg48A9A7YYLM7mvawsRyN9NSdE/DuoUYp45yIKBK+s6AczV396B2w+X1uQoR35vFKGgAx2VSv1SApQRfh0dBoc2dlHu50trYmIoqUSflpePNbt0V6GAGRFfrYbDasX78epaWlSEpKQnl5OV544QWple/g4CB++MMfYtq0aUhJSUFhYSG+/vWv48qVK2EZvFq63JZcNBpNhEdDREQU3WTNfGzYsAGvvfYaampqMHXqVBw6dAiPP/44TCYTnn76afT29uLIkSNYv349pk+fjvb2dnzve9/DV77yFRw6dChc/4awcyWbcqKIiIgoVLKupnv37sXy5cuxdOlSAEBJSQnefvttHDhwAABgMpmwdevWYd/zq1/9CrNmzcLFixdRXFys0LDVJS67sKkcERFR6GQtu8ydOxfbt2/H6dOnAQDHjx/Hnj17sGSJ94zZzs5OaDQaZGRkePy61WqFxWIZ9hhtXKXVOfNBREQUKllX07Vr18JisaCyshI6nQ42mw0vvvgiHn30UY/P7+/vxw9/+EP83d/9HdLT0z0+p7q6Gs8//7z8kauITeWIiIiUI2vm491338Wbb76Jt956C0eOHEFNTQ1eeeUV1NTUXPfcwcFBPPTQQxAEAa+99prXY65btw6dnZ3So7GxUf6/IsykGh8MPoiIiEIma+ZjzZo1WLt2LR555BEAwLRp09DQ0IDq6mqsWLFCep4YeDQ0NGDHjh1eZz0AwGg0wmgc3cWZpIRTLrsQERGFTNbVtLe3F1rt8MkSnU4Hu91VR14MPM6cOYOdO3ciOztbmZFGEBNOiYiIlCMr+Fi2bBlefPFFFBcXY+rUqTh69CheffVVrFy5EoAj8HjggQdw5MgRfPDBB7DZbGhqagIAZGVlwWAwKP8vUIFr2YUzH0RERKGSdTXdtGkT1q9fjyeffBJmsxmFhYV44okn8OyzzwIALl++jPfffx8AMGPGjGHfu3PnTixYsECRQavNtezCmQ8iIqJQyQo+0tLSsHHjRmzcuNHj10tKSqRqp7GECadERETKiWxnmSjR1SfmfHDZhYiIKFQMPgIgJpxy2YWIiCh0DD4CYHFrLEdEREShYfDhR/+gDQNDjq3E3O1CREQUOgYffohLLloNkGJg8EFERBQqBh9+iE3lUo16aLWaCI+GiIgo+jH48KOLyaZERESKYvDhB2t8EBERKYvBhx9sKkdERKQsBh9+sKkcERGRshh8+CEmnHLZhYiISBkMPvxwJZxy2YWIiEgJDD78kEqrc+aDiIhIEQw+/BCXXdhUjoiISBkMPvxgUzkiIiJlMfjwo4t1PoiIiBTF4MMP1vkgIiJSFoMPP5hwSkREpCwGH36wzgcREZGyGHz4MGizo2/QBoDLLkREREph8OGDmGwKAKlGBh9ERERKYPDhg5hsmmrUQ6/jqSIiIlICr6g+uJrKcdaDiIhIKQw+fGCyKRERkfIYfPjApnJERETKY/DhA2t8EBERKY/Bhw9sKkdERKQ8Bh8+sKkcERGR8hh8+MCmckRERMpj8OEDm8oREREpj8GHD0w4JSIiUh6DDx9cCacMPoiIiJTC4MMHC+t8EBERKY7Bhw9MOCUiIlIegw8fXAmnDD6IiIiUwuDDC5tdQJeVRcaIiIiUxuDDi27nkgvA4IOIiEhJDD68EJNNExO0MOp1ER4NERFR7GDw4QVrfBAREYUHgw8vxBofTDYlIiJSFoMPL8SZD+Z7EBERKYvBhxfSNlsuuxARESmKwYcXUoExLrsQEREpisGHF66EUy67EBERKUlW8GGz2bB+/XqUlpYiKSkJ5eXleOGFFyAIgvQcQRDw7LPPYsyYMUhKSkJVVRXOnDmj+MDDjU3liIiIwkNW8LFhwwa89tpr+NWvfoXa2lps2LABL7/8MjZt2iQ95+WXX8Yvf/lLvP7669i/fz9SUlJw9913o7+/X/HBhxObyhEREYWHrCvr3r17sXz5cixduhQAUFJSgrfffhsHDhwA4Jj12LhxI3784x9j+fLlAIDf/va3yM/Px5YtW/DII48oPPzw6WKdDyIiorCQNfMxd+5cbN++HadPnwYAHD9+HHv27MGSJUsAAOfPn0dTUxOqqqqk7zGZTJg9ezb27dvn8ZhWqxUWi2XYYzRgnQ8iIqLwkDXzsXbtWlgsFlRWVkKn08Fms+HFF1/Eo48+CgBoamoCAOTn5w/7vvz8fOlrI1VXV+P5558PZuxhxTofRERE4SFr5uPdd9/Fm2++ibfeegtHjhxBTU0NXnnlFdTU1AQ9gHXr1qGzs1N6NDY2Bn0sJbG8OhERUXjIuq1fs2YN1q5dK+VuTJs2DQ0NDaiursaKFStQUFAAAGhubsaYMWOk72tubsaMGTM8HtNoNMJoNAY5/PAR63yYmHBKRESkKFkzH729vdBqh3+LTqeD3W4HAJSWlqKgoADbt2+Xvm6xWLB//37MmTNHgeGqQxAEVjglIiIKE1m39cuWLcOLL76I4uJiTJ06FUePHsWrr76KlStXAgA0Gg1Wr16Nn/70p5g4cSJKS0uxfv16FBYW4r777gvH+MOiZ8AGu7N0CRNOiYiIlCUr+Ni0aRPWr1+PJ598EmazGYWFhXjiiSfw7LPPSs/5l3/5F/T09ODb3/42Ojo6MG/ePPztb39DYmKi4oMPF3HWI0GngVHPIrBERERK0gju5UlHAYvFApPJhM7OTqSnp0dkDKeaLLhn425kpxhweP3iiIyBiIgomsi5fvO23gM2lSMiIgofBh8euJJNudOFiIhIaQw+PHAVGOPMBxERkdIYfHjgKq3OmQ8iIiKlMfjwgE3liIiIwofBhwcWJpwSERGFDYMPD5hwSkREFD4MPjxgwikREVH4MPjwgAmnRERE4cPgwwMmnBIREYUPgw8PmHBKREQUPgw+PBATTtOYcEpERKQ4Bh8jCIIgJZxy2YWIiEh5DD5GsA7ZMWhzNPrlsgsREZHyGHyMIC65aDVAikEX4dEQERHFHgYfI7jX+NBoNBEeDRERUexh8DFCJ2t8EBERhRWDjxGYbEpERBReDD5G6BJrfDD4ICIiCgsGHyNITeW47EJERBQWDD5GYFM5IiKi8GLwMYLUVI7BBxERUVgw+BhBairHZRciIqKwYPAxQkcfd7sQERGFE4OPETp6BwAAWSmGCI+EiIgoNjH4GKGtxzHzkcngg4iIKCwYfIzQ3uOY+chM5rILERFRODD4cCMIAtp7xeCDMx9EREThwODDTd+gDdYhOwDmfBAREYULgw83bc4lF4NOi2SDLsKjISIiik0MPtx09IrJpgnQaDQRHg0REVFsYvDhpq2H+R5EREThxuDDDZNNiYiIwo/Bhxtxmy2TTYmIiMKHwYebNrecDyIiIgoPBh9u2pnzQUREFHYMPtww54OIiCj8GHy4aWdTOSIiorBj8OFGbCqXwb4uREREYcPgw00HZz6IiIjCjsGHkyAILDJGRESkAgYfTu5N5TI580FERBQ2DD6c2p01Pgw6LVLYVI6IiChsZAUfJSUl0Gg01z1WrVoFAGhqasJjjz2GgoICpKSk4KabbsKf/vSnsAxcaVKNDzaVIyIiCiu9nCcfPHgQNptN+vjkyZNYvHgxHnzwQQDA17/+dXR0dOD9999HTk4O3nrrLTz00EM4dOgQZs6cqezIFcZ8DyIiInXImvnIzc1FQUGB9Pjggw9QXl6O+fPnAwD27t2L7373u5g1axbKysrw4x//GBkZGTh8+HBYBq8kFhgjIiJSR9A5HwMDA/jd736HlStXSssUc+fOxe9//3u0tbXBbrfjnXfeQX9/PxYsWKDUeMOGTeWIiIjUIWvZxd2WLVvQ0dGBb3zjG9Ln3n33XTz88MPIzs6GXq9HcnIy3nvvPUyYMMHrcaxWK6xWq/SxxWIJdkghEZvKscAYERFReAU98/Gb3/wGS5YsQWFhofS59evXo6OjA9u2bcOhQ4fw/e9/Hw899BA+++wzr8eprq6GyWSSHkVFRcEOKSQsMEZERKQOjSAIgtxvamhoQFlZGf7rv/4Ly5cvBwDU19djwoQJOHnyJKZOnSo9t6qqChMmTMDrr7/u8VieZj6KiorQ2dmJ9PR0uUML2lNvHcEHJ67i2S9Pwcp5par9XCIiolhgsVhgMpkCun4HteyyefNm5OXlYenSpdLnent7AQBa7fDJFJ1OB7vd7vVYRqMRRqMxmGEoSko4TeGyCxERUTjJXnax2+3YvHkzVqxYAb3eFbtUVlZiwoQJeOKJJ3DgwAHU19fjZz/7GbZu3Yr77rtPyTGHRbuzqRx3uxAREYWX7OBj27ZtuHjxIlauXDns8wkJCfif//kf5ObmYtmyZbjxxhvx29/+FjU1Nbj33nsVG3C4tDPng4iISBWyl13uuusueEsTmThxYtRUNB2JRcaIiIjUwd4uAPoG2FSOiIhILQw+ALQ5l1zYVI6IiCj8GHzAVd00I5lN5YiIiMKNwQeYbEpERKQmBh9gsikREZGaGHzAtezCAmNEREThx+ADQHsvC4wRERGphcEHmPNBRESkJgYfcOV8ZHDmg4iIKOwYfADocC67ZDHng4iIKOwYfIC7XYiIiNTE4AOunA8GH0REROHH4ANMOCUiIlJT3AcffQM29A+yqRwREZFa4j74EJvKJeg0bCpHRESkgrgPPtrdkk3ZVI6IiCj8GHww34OIiEhVcR98uAqMscYHERGRGuI++HAVGOPMBxERkRriPvhggTEiIiJ1xX3wwQJjRERE6mLw4Vx2YY0PIiIidTD46BF3uzDhlIiISA1xH3y4drtw5oOIiEgNcR98dIh1Phh8EBERqSLug482FhkjIiJSVVwHH+5N5VhkjIiISB1xHXy0uzWVSzXqIzwaIiKi+BDXwUcbm8oRERGpLq6DDxYYIyIiUl+cBx9igTHmexAREaklvoOPHu50ISIiUltcBx8sMEZERKS+uA4+WGCMiIhIfXEdfLSxqRwREZHq4jr4aJe22jLhlIiISC3xHXyIW20580FERKSa+A4+epjzQUREpLa4Dj7aWGSMiIhIdXEbfLg3lWORMSIiIvXEbfDBpnJERESREbfBh3uBMTaVIyIiUk/cBh8dzhofTDYlIiJSV9wGH1KyKfM9iIiIVCUr+CgpKYFGo7nusWrVKuk5+/btw8KFC5GSkoL09HTccccd6OvrU3zgoXIVGOPMBxERkZpkZVoePHgQNptN+vjkyZNYvHgxHnzwQQCOwOOee+7BunXrsGnTJuj1ehw/fhxa7eibYGGBMSIiosiQFXzk5uYO+/ill15CeXk55s+fDwB45pln8PTTT2Pt2rXScyoqKhQYpvJYYIyIiCgygp6SGBgYwO9+9zusXLkSGo0GZrMZ+/fvR15eHubOnYv8/HzMnz8fe/bsUXK8ihGbymWwrwsREZGqgg4+tmzZgo6ODnzjG98AAJw7dw4A8JOf/AT/+I//iL/97W+46aabsGjRIpw5c8brcaxWKywWy7CHGjqcyy5ZXHYhIiJSVdDBx29+8xssWbIEhYWFAAC73VEt9IknnsDjjz+OmTNn4uc//zkqKirwn//5n16PU11dDZPJJD2KioqCHZIsYp0P5nwQERGpK6jgo6GhAdu2bcO3vvUt6XNjxowBAEyZMmXYcydPnoyLFy96Pda6devQ2dkpPRobG4MZkmzc7UJERBQZQdUV37x5M/Ly8rB06VLpcyUlJSgsLERdXd2w554+fRpLlizxeiyj0Qij0RjMMELSziJjREREESE7+LDb7di8eTNWrFgBvd717RqNBmvWrMFzzz2H6dOnY8aMGaipqcGpU6fwxz/+UdFBh6pvwIa+QceWYRYZIyIiUpfs4GPbtm24ePEiVq5ced3XVq9ejf7+fjzzzDNoa2vD9OnTsXXrVpSXlysyWKWINT70WjaVIyIiUptGEAQh0oNwZ7FYYDKZ0NnZifT09LD8jM+vdGLpL/cgN82Igz+qCsvPICIiiidyrt+jr/SoCtp7mO9BREQUKXEZfIhN5VhgjIiISH1xGXywwBgREVHkxGXwwQJjREREkROXwYerwBiXXYiIiNQWn8GHs8AYq5sSERGpL06DD+Z8EBERRUpcBh9t7OtCREQUMXEZfHSIyy6c+SAiIlJdXAYf4swHi4wRERGpL+6Cj/5BV1O5DDaVIyIiUl3cBR/uTeXS2FSOiIhIdXEXfLgXGNNoNBEeDRERUfyJu+BDbCrHAmNERESREXfBh9hUjttsiYiIIiPugg82lSMiIoqsuAs+xJyPDM58EBERRUTcBR9iU7ksbrMlIiKKiPgLPthUjoiIKKLiMPhgwikREVEkxV3wIZVWZ8IpERFRRMRd8MGmckRERJEVd8GHVOGURcaIiIgiIq6CD/emcpz5ICIiioy4Cj7YVI6IiCjy4ir4cC8wxqZyREREkRFXwYfYVI4FxoiIiCInvoIP1vggIiKKOAYfREREpKq4Cj6kbbbc6UJERBQxcRV8iAXGmPNBREQUOXEVfLgKjHHmg4iIKFLiKvhgzgcREVHkxWXwwaZyREREkRNfwYezzkcG+7oQERFFTFwFH2LOB2c+iIiIIidugg82lSMiIhod4qa7miAAP1g8Ce29g2wqR0REFEFxcxVOMujw3UUTIz0MIiKiuBc3yy5EREQ0OjD4ICIiIlUx+CAiIiJVMfggIiIiVTH4ICIiIlXJCj5KSkqg0Wiue6xatWrY8wRBwJIlS6DRaLBlyxYlx0tERERRTtZW24MHD8Jms0kfnzx5EosXL8aDDz447HkbN26ERqNRZoREREQUU2QFH7m5ucM+fumll1BeXo758+dLnzt27Bh+9rOf4dChQxgzZowyoyQiIqKYEXTOx8DAAH73u99h5cqV0ixHb28v/v7v/x6//vWvUVBQoNggiYiIKHYEXeF0y5Yt6OjowDe+8Q3pc8888wzmzp2L5cuXB3wcq9UKq9UqfWyxWIIdEhEREUWBoIOP3/zmN1iyZAkKCwsBAO+//z527NiBo0ePyjpOdXU1nn/++WCHQURERFEmqGWXhoYGbNu2Dd/61rekz+3YsQP19fXIyMiAXq+HXu+Ia772ta9hwYIFXo+1bt06dHZ2So/GxsZghkRERERRIqiZj82bNyMvLw9Lly6VPrd27dphwQgATJs2DT//+c+xbNkyr8cyGo0wGo3BDIOIiIiikOzgw263Y/PmzVixYoU0uwEABQUFHpNMi4uLUVpaGvDxBUEAwNwPIiKiaCJet8XruC+yg49t27bh4sWLWLlypfyRBaCrqwsAUFRUFJbjExERUfh0dXXBZDL5fI5GCCREUZHdbseVK1eQlpYmq1CZxWJBUVERGhsbkZ6eHsYRkjue98jgeVcfz3lk8LxHRjDnXRAEdHV1obCwEFqt75TSoHe7hItWq8W4ceOC/v709HS+QCOA5z0yeN7Vx3MeGTzvkSH3vPub8RCxsRwRERGpisEHERERqSpmgg+j0YjnnnuO23ZVxvMeGTzv6uM5jwye98gI93kfdQmnREREFNtiZuaDiIiIogODDyIiIlIVgw8iIiJSFYMPIiIiUlVMBB+//vWvUVJSgsTERMyePRsHDhyI9JBiyscff4xly5ahsLAQGo0GW7ZsGfZ1QRDw7LPPYsyYMUhKSkJVVRXOnDkTmcHGkOrqatx6661IS0tDXl4e7rvvPtTV1Q17Tn9/P1atWoXs7Gykpqbia1/7GpqbmyM04tjw2muv4cYbb5SKK82ZMwd//etfpa/znIffSy+9BI1Gg9WrV0uf43kPj5/85CfQaDTDHpWVldLXw3Xeoz74+P3vf4/vf//7eO6553DkyBFMnz4dd999N8xmc6SHFjN6enowffp0/PrXv/b49Zdffhm//OUv8frrr2P//v1ISUnB3Xffjf7+fpVHGlt27dqFVatW4dNPP8XWrVsxODiIu+66Cz09PdJznnnmGfz5z3/GH/7wB+zatQtXrlzBV7/61QiOOvqNGzcOL730Eg4fPoxDhw5h4cKFWL58OT7//HMAPOfhdvDgQfz7v/87brzxxmGf53kPn6lTp+Lq1avSY8+ePdLXwnbehSg3a9YsYdWqVdLHNptNKCwsFKqrqyM4qtgFQHjvvfekj+12u1BQUCD867/+q/S5jo4OwWg0Cm+//XYERhi7zGazAEDYtWuXIAiO85yQkCD84Q9/kJ5TW1srABD27dsXqWHGpMzMTOE//uM/eM7DrKurS5g4caKwdetWYf78+cL3vvc9QRD4Wg+n5557Tpg+fbrHr4XzvEf1zMfAwAAOHz6Mqqoq6XNarRZVVVXYt29fBEcWP86fP4+mpqZhvwOTyYTZs2fzd6Cwzs5OAEBWVhYA4PDhwxgcHBx27isrK1FcXMxzrxCbzYZ33nkHPT09mDNnDs95mK1atQpLly4ddn4BvtbD7cyZMygsLERZWRkeffRRXLx4EUB4z/uoaywnR2trK2w2G/Lz84d9Pj8/H6dOnYrQqOJLU1MTAHj8HYhfo9DZ7XasXr0aX/rSl3DDDTcAcJx7g8GAjIyMYc/luQ/dZ599hjlz5qC/vx+pqal47733MGXKFBw7doznPEzeeecdHDlyBAcPHrzua3yth8/s2bPxxhtvoKKiAlevXsXzzz+P22+/HSdPngzreY/q4IMoXqxatQonT54cthZL4VNRUYFjx46hs7MTf/zjH7FixQrs2rUr0sOKWY2Njfje976HrVu3IjExMdLDiStLliyR/v/GG2/E7NmzMX78eLz77rtISkoK28+N6mWXnJwc6HS66zJvm5ubUVBQEKFRxRfxPPN3ED5PPfUUPvjgA+zcuRPjxo2TPl9QUICBgQF0dHQMez7PfegMBgMmTJiAm2++GdXV1Zg+fTp+8Ytf8JyHyeHDh2E2m3HTTTdBr9dDr9dj165d+OUvfwm9Xo/8/Hyed5VkZGRg0qRJOHv2bFhf71EdfBgMBtx8883Yvn279Dm73Y7t27djzpw5ERxZ/CgtLUVBQcGw34HFYsH+/fv5OwiRIAh46qmn8N5772HHjh0oLS0d9vWbb74ZCQkJw859XV0dLl68yHOvMLvdDqvVynMeJosWLcJnn32GY8eOSY9bbrkFjz76qPT/PO/q6O7uRn19PcaMGRPe13tI6aqjwDvvvCMYjUbhjTfeEL744gvh29/+tpCRkSE0NTVFemgxo6urSzh69Khw9OhRAYDw6quvCkePHhUaGhoEQRCEl156ScjIyBD++7//Wzhx4oSwfPlyobS0VOjr64vwyKPbP/3TPwkmk0n46KOPhKtXr0qP3t5e6Tnf+c53hOLiYmHHjh3CoUOHhDlz5ghz5syJ4Kij39q1a4Vdu3YJ58+fF06cOCGsXbtW0Gg0wocffigIAs+5Wtx3uwgCz3u4/OAHPxA++ugj4fz588Inn3wiVFVVCTk5OYLZbBYEIXznPeqDD0EQhE2bNgnFxcWCwWAQZs2aJXz66aeRHlJM2blzpwDguseKFSsEQXBst12/fr2Qn58vGI1GYdGiRUJdXV1kBx0DPJ1zAMLmzZul5/T19QlPPvmkkJmZKSQnJwv333+/cPXq1cgNOgasXLlSGD9+vGAwGITc3Fxh0aJFUuAhCDznahkZfPC8h8fDDz8sjBkzRjAYDMLYsWOFhx9+WDh79qz09XCdd40gCEJocydEREREgYvqnA8iIiKKPgw+iIiISFUMPoiIiEhVDD6IiIhIVQw+iIiISFUMPoiIiEhVDD6IiIhIVQw+iIiISFUMPoiIiEhVDD6IiIhIVQw+iIiISFUMPoiIiEhV/z/0/HES/5VXuAAAAABJRU5ErkJggg==\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"#From the previous diagram, the highest value of K is 6.\n",
"\n",
"knn_model = KNeighborsClassifier(n_neighbors=6)\n",
"knn_model.fit(x_train_scaled, y_train)\n",
"knn_prediction = knn_model.predict(x_test_scaled)\n",
"knn_accuracy = (round(accuracy_score(knn_prediction, y_test), 4) * 100) #percentage\n",
"accuracy_list.append(knn_accuracy)"
],
"metadata": {
"id": "AecRKN1VWxtd"
},
"execution_count": 45,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**Fourth, Decision Tree**"
],
"metadata": {
"id": "jKMw5hV_XKVd"
}
},
{
"cell_type": "code",
"source": [
"dt_model = DecisionTreeClassifier(criterion=\"entropy\", max_depth=2)\n",
"dt_model.fit(x_train_scaled, y_train)\n",
"dt_prediction = dt_model.predict(x_test_scaled)\n",
"dt_accuracy = (round(accuracy_score(dt_prediction, y_test), 4) * 100) #percentage\n",
"accuracy_list.append(dt_accuracy)"
],
"metadata": {
"id": "AckvzrR5XCpm"
},
"execution_count": 46,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**Fifth, Naive Bayes**"
],
"metadata": {
"id": "n46RY8EoXV1D"
}
},
{
"cell_type": "code",
"source": [
"nb_model = GaussianNB()\n",
"nb_model.fit(x_train_scaled, y_train)\n",
"nb_prediction = nb_model.predict(x_test_scaled)\n",
"nb_accuracy = (round(accuracy_score(nb_prediction, y_test), 4) * 100) #percentage\n",
"accuracy_list.append(nb_accuracy)"
],
"metadata": {
"id": "ozUztOjJXRsE"
},
"execution_count": 47,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"**Last one, Random Forest**"
],
"metadata": {
"id": "pPn44WATXmdF"
}
},
{
"cell_type": "code",
"source": [
"rf_model = RandomForestClassifier()\n",
"rf_model.fit(x_train_scaled, y_train)\n",
"rf_prediction = rf_model.predict(x_test_scaled)\n",
"rf_accuracy = (round(accuracy_score(rf_prediction, y_test), 4) * 100) #percentage\n",
"accuracy_list.append(rf_accuracy)"
],
"metadata": {
"id": "yChgq0BOXjQL"
},
"execution_count": 48,
"outputs": []
},
{
"cell_type": "code",
"source": [
"#Show the accuracy of the 6 models\n",
"\n",
"accuracy_list"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "2hKtibWQXtID",
"outputId": "06318b13-b318-4da6-d78f-3133859c1bee"
},
"execution_count": 49,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[87.78, 84.44, 84.44, 88.89, 82.22, 86.67]"
]
},
"metadata": {},
"execution_count": 49
}
]
},
{
"cell_type": "code",
"source": [
"models = [\"Logistic Regression\",\"SVC\",\"KNN\",\"Decision Tree\",\"Naive Bayes\",\"Random Forest\"]"
],
"metadata": {
"id": "9xI28GS0X932"
},
"execution_count": 50,
"outputs": []
},
{
"cell_type": "code",
"source": [
"# Displaying the accuracy using bar plot to compare\n",
"\n",
"plt.figure(figsize=(12,7))\n",
"ax = sns.barplot(x=models, y=accuracy_list)\n",
"plt.xlabel(\"Classifiers\", fontsize=15)\n",
"plt.ylabel(\"Accuracy (%)\", fontsize=15)\n",
"for p in ax.patches:\n",
" width = p.get_width()\n",
" height = p.get_height()\n",
" x = p.get_x()\n",
" y = p.get_y()\n",
" ax.annotate(f\"{height} %\", (x + width/2, y+ height*1.01), ha=\"center\")\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 625
},
"id": "xNEOUV6tYI-x",
"outputId": "0a19d06d-de49-4e6a-8f0d-63c6910b91f7"
},
"execution_count": 51,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1200x700 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"# Displaying the accuracy using a bar plot with unique colors\n",
"plt.figure(figsize=(12,7))\n",
"ax = sns.barplot(x=models, y=accuracy_list, palette=\"tab10\") # Use a color palette\n",
"plt.xlabel(\"Classifiers\", fontsize=15)\n",
"plt.ylabel(\"Accuracy (%)\", fontsize=15)\n",
"\n",
"# Add annotations\n",
"for p in ax.patches:\n",
" width = p.get_width()\n",
" height = p.get_height()\n",
" x = p.get_x()\n",
" y = p.get_y()\n",
" ax.annotate(f\"{height} %\", (x + width/2, y + height*1.01), ha=\"center\")\n",
"\n",
"plt.show()"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 712
},
"id": "9cWFI9NUYVu2",
"outputId": "adcda2c4-0376-482b-89fd-8aec739d8959"
},
"execution_count": 52,
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"<ipython-input-52-0b29b2bbc30b>:6: FutureWarning: \n",
"\n",
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
"\n",
" ax = sns.barplot(x=models, y=accuracy_list, palette=\"tab10\") # Use a color palette\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 1200x700 with 1 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "olq_bonAaMHM"
},
"execution_count": null,
"outputs": []
}
]
}