[404218]: / Code / All Qiskit ML Demos / 03 Training Real Dataset 79% Test kkawchak.ipynb

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{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ideal-strategy",
   "metadata": {},
   "source": [
    "# Training a Quantum Model on a Real Dataset\n",
    "\n",
    "This tutorial will demonstrate how to train a quantum machine learning model to tackle a classification problem. Previous tutorials have featured small, artificial datasets. Here we will increase the problem complexity by considering a real-life classical dataset. We decided to pick a very well-known – albeit still relatively small – problem: the Iris flower dataset. This dataset even has its own Wikipedia [page](https://en.wikipedia.org/wiki/Iris_flower_data_set). Although the Iris dataset is well known to data scientists, we will briefly introduce it to refresh our memories. For comparison, we'll first train a classical counterpart to the quantum model.\n",
    "\n",
    "So, let's get started:\n",
    "\n",
    "- First, we'll load the dataset and explore what it looks like.\n",
    "- Next, we'll train a classical model using [SVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html) from [scikit-learn](https://scikit-learn.org/) to see how well the classification problem can be solved using classical methods.\n",
    "- After that, we'll introduce the Variational Quantum Classifier (VQC).\n",
    "- To conclude, we'll compare the results obtained from both models.\n",
    "\n",
    "## 1. Exploratory Data Analysis\n",
    "\n",
    "First, let us explore the Iris dataset this tutorial will use and see what it contains. For our convenience, this [dataset](https://scikit-learn.org/stable/datasets/toy_dataset.html#iris-dataset) is available in scikit-learn and can be loaded easily."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "valued-leeds",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "\n",
    "iris_data = load_iris()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "billion-advance",
   "metadata": {},
   "source": [
    "If no parameters are specified in the `load_iris` function, then a dictionary-like object is returned by scikit-learn. Let's print the description of the dataset and see what is inside."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "everyday-commission",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".. _iris_dataset:\n",
      "\n",
      "Iris plants dataset\n",
      "--------------------\n",
      "\n",
      "**Data Set Characteristics:**\n",
      "\n",
      "    :Number of Instances: 150 (50 in each of three classes)\n",
      "    :Number of Attributes: 4 numeric, predictive attributes and the class\n",
      "    :Attribute Information:\n",
      "        - sepal length in cm\n",
      "        - sepal width in cm\n",
      "        - petal length in cm\n",
      "        - petal width in cm\n",
      "        - class:\n",
      "                - Iris-Setosa\n",
      "                - Iris-Versicolour\n",
      "                - Iris-Virginica\n",
      "                \n",
      "    :Summary Statistics:\n",
      "\n",
      "    ============== ==== ==== ======= ===== ====================\n",
      "                    Min  Max   Mean    SD   Class Correlation\n",
      "    ============== ==== ==== ======= ===== ====================\n",
      "    sepal length:   4.3  7.9   5.84   0.83    0.7826\n",
      "    sepal width:    2.0  4.4   3.05   0.43   -0.4194\n",
      "    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\n",
      "    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\n",
      "    ============== ==== ==== ======= ===== ====================\n",
      "\n",
      "    :Missing Attribute Values: None\n",
      "    :Class Distribution: 33.3% for each of 3 classes.\n",
      "    :Creator: R.A. Fisher\n",
      "    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n",
      "    :Date: July, 1988\n",
      "\n",
      "The famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\n",
      "from Fisher's paper. Note that it's the same as in R, but not as in the UCI\n",
      "Machine Learning Repository, which has two wrong data points.\n",
      "\n",
      "This is perhaps the best known database to be found in the\n",
      "pattern recognition literature.  Fisher's paper is a classic in the field and\n",
      "is referenced frequently to this day.  (See Duda & Hart, for example.)  The\n",
      "data set contains 3 classes of 50 instances each, where each class refers to a\n",
      "type of iris plant.  One class is linearly separable from the other 2; the\n",
      "latter are NOT linearly separable from each other.\n",
      "\n",
      ".. topic:: References\n",
      "\n",
      "   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\n",
      "     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n",
      "     Mathematical Statistics\" (John Wiley, NY, 1950).\n",
      "   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\n",
      "     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\n",
      "   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n",
      "     Structure and Classification Rule for Recognition in Partially Exposed\n",
      "     Environments\".  IEEE Transactions on Pattern Analysis and Machine\n",
      "     Intelligence, Vol. PAMI-2, No. 1, 67-71.\n",
      "   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\n",
      "     on Information Theory, May 1972, 431-433.\n",
      "   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\n",
      "     conceptual clustering system finds 3 classes in the data.\n",
      "   - Many, many more ...\n"
     ]
    }
   ],
   "source": [
    "print(iris_data.DESCR)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "arctic-girlfriend",
   "metadata": {},
   "source": [
    "There are a few interesting observations we can find from this dataset description:\n",
    "\n",
    "- There are 150 samples (instances) in the dataset.\n",
    "- There are four features (attributes) in each sample.\n",
    "- There are three labels (classes) in the dataset.\n",
    "- The dataset is perfectly balanced, as there are the same number of samples (50) in each class.\n",
    "- We can see features are not normalized, and their value ranges are different, e.g., $[4.3, 7.9]$ and $[0.1, 2.5]$ for sepal length and petal width, respectively. So, transforming the features to the same scale may be helpful.\n",
    "- As stated in the table above, feature-to-class correlation in some cases is very high; this may lead us to think that our model should cope well with the dataset.\n",
    "\n",
    "We only examined the dataset description, but additional properties are available in the `iris_data` object. Now we are going to work with features and labels from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "mobile-dictionary",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = iris_data.data\n",
    "labels = iris_data.target"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "signed-iraqi",
   "metadata": {},
   "source": [
    "Firstly, we'll normalize the features. Namely, we will apply a simple transformation to represent all features on the same scale. In our case, we squeeze all features onto the interval $[0, 1]$. Normalization is a common technique in machine learning and often leads to better numerical stability and convergence of an algorithm.\n",
    "\n",
    "We can use `MinMaxScaler` from scikit-learn to perform this. Without specifying parameters, this does exactly what is required: maps data onto $[0, 1]$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "alternative-preliminary",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "features = MinMaxScaler().fit_transform(features)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "phantom-hollow",
   "metadata": {},
   "source": [
    "Let's see how our data looks. We plot the features pair-wise to see if there's an observable correlation between them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "whole-exhaust",
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f81cc73fa00>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1058.88x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "df = pd.DataFrame(iris_data.data, columns=iris_data.feature_names)\n",
    "df[\"class\"] = pd.Series(iris_data.target)\n",
    "\n",
    "sns.pairplot(df, hue=\"class\", palette=\"tab10\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quarterly-adult",
   "metadata": {},
   "source": [
    "From the plots, we see that class `0` is easily separable from the other two classes, while classes `1` and `2` are sometimes intertwined, especially regarding the \"sepal width\" feature.\n",
    "\n",
    "Next, let's see how classical machine learning handles this dataset. \n",
    "\n",
    "## 2. Training a Classical Machine Learning Model\n",
    "\n",
    "Before we train a model, we should split the dataset into two parts: a training dataset and a test dataset. We'll use the former to train the model and the latter to verify how well our models perform on unseen data.\n",
    "\n",
    "As usual, we'll ask scikit-learn to do the boring job for us. We'll also fix the seed to ensure the results are reproducible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "pursuant-survival",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from qiskit.utils import algorithm_globals\n",
    "\n",
    "algorithm_globals.random_seed = 123\n",
    "train_features, test_features, train_labels, test_labels = train_test_split(\n",
    "    features, labels, train_size=0.8, random_state=algorithm_globals.random_seed\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "close-festival",
   "metadata": {},
   "source": [
    "We train a classical Support Vector Classifier from scikit-learn. For the sake of simplicity, we don't tweak any parameters and rely on the default values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "proved-reviewer",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC\n",
    "\n",
    "svc = SVC()\n",
    "_ = svc.fit(train_features, train_labels)  # suppress printing the return value"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "earned-destination",
   "metadata": {},
   "source": [
    "Now we check out how well our classical model performs. We will analyze the scores in the conclusion section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "veterinary-proxy",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classical SVC on the training dataset: 0.99\n",
      "Classical SVC on the test dataset:     0.97\n"
     ]
    }
   ],
   "source": [
    "train_score_c4 = svc.score(train_features, train_labels)\n",
    "test_score_c4 = svc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Classical SVC on the training dataset: {train_score_c4:.2f}\")\n",
    "print(f\"Classical SVC on the test dataset:     {test_score_c4:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "limited-hybrid",
   "metadata": {},
   "source": [
    "As can be seen from the scores, the classical SVC algorithm performs very well. Next up, it's time to look at quantum machine learning models.\n",
    "\n",
    "## 3. Training a Quantum Machine Learning Model\n",
    "\n",
    "As an example of a quantum model, we'll train a variational quantum classifier (VQC). The VQC is the simplest classifier available in Qiskit Machine Learning and is a good starting point for newcomers to quantum machine learning who have a background in classical machine learning.\n",
    "\n",
    "But before we train a model, let's examine what comprises the `VQC` class. Two of its central elements are the feature map and ansatz. What these are will now be explained.\n",
    "\n",
    "Our data is classical, meaning it consists of a set of bits, not qubits. We need a way to encode the data as qubits. This process is crucial if we want to obtain an effective quantum model. We usually refer to this mapping as data encoding, data embedding, or data loading and this is the role of the feature map. While feature mapping is a common ML mechanism, this process of loading data into quantum states does not appear in classical machine learning as that only operates in the classical world.\n",
    "\n",
    "Once the data is loaded, we must immediately apply a parameterized quantum circuit. This circuit is a direct analog to the layers in classical neural networks. It has a set of tunable parameters or weights. The weights are optimized such that they minimize an objective function. This objective function characterizes the distance between the predictions and known labeled data. A parameterized quantum circuit is also called a parameterized trial state, variational form, or ansatz. Perhaps, the latter is the most widely used term.\n",
    "\n",
    "For more information, we direct the reader to the [Quantum Machine Learning Course](https://learn.qiskit.org/course/machine-learning).\n",
    "\n",
    "Our choice of feature map will be the ``ZZFeatureMap``. The ``ZZFeatureMap`` is one of the standard feature maps in the Qiskit circuit library. We pass `num_features` as `feature_dimension`, meaning the feature map will have `num_features` or `4` qubits.\n",
    "\n",
    "We decompose the feature map into its constituent gates to give the reader a flavor of how feature maps may look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "optional-pocket",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1792.5x785.944 with 1 Axes>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.circuit.library import ZZFeatureMap\n",
    "\n",
    "num_features = features.shape[1]\n",
    "\n",
    "feature_map = ZZFeatureMap(feature_dimension=num_features, reps=1)\n",
    "feature_map.decompose().draw(output=\"mpl\", fold=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "noticed-airport",
   "metadata": {},
   "source": [
    "If you look closely at the feature map diagram, you will notice parameters `x[0], ..., x[3]`. These are placeholders for our features.\n",
    "\n",
    "Now we create and plot our ansatz. Pay attention to the repetitive structure of the ansatz circuit. We define the number of these repetitions using the `reps` parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "elder-interaction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1040x367.889 with 1 Axes>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.circuit.library import RealAmplitudes\n",
    "\n",
    "ansatz = RealAmplitudes(num_qubits=num_features, reps=3)\n",
    "ansatz.decompose().draw(output=\"mpl\", fold=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "comic-bumper",
   "metadata": {},
   "source": [
    "This circuit has 16 parameters named `θ[0], ..., θ[15]`. These are the trainable weights of the classifier.\n",
    "\n",
    "We then choose an optimization algorithm to use in the training process. This step is similar to what you may find in classical deep learning frameworks. To make the training process faster, we choose a gradient-free optimizer. You may explore other optimizers available in Qiskit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "intimate-doubt",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit.algorithms.optimizers import COBYLA\n",
    "\n",
    "optimizer = COBYLA(maxiter=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "integral-compound",
   "metadata": {},
   "source": [
    "In the next step, we define where to train our classifier. We can train on a simulator or a real quantum computer. Here, we will use a simulator. We create an instance of the `Sampler` primitive. This is the reference implementation that is statevector based. Using qiskit runtime services you can create a sampler that is backed by a quantum computer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "unauthorized-footwear",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit.primitives import Sampler\n",
    "\n",
    "sampler = Sampler()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "seeing-charles",
   "metadata": {},
   "source": [
    "We will add a callback function called `callback_graph`. `VQC` will call this function for each evaluation of the objective function with two parameters: the current weights and the value of the objective function at those weights. Our callback will append the value of the objective function to an array so we can plot the iteration versus the objective function value. The callback will update the plot at each iteration. Note that you can do whatever you want inside a callback function, so long as it has the two-parameter signature we mentioned above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "connected-reach",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "from IPython.display import clear_output\n",
    "\n",
    "objective_func_vals = []\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 6)\n",
    "\n",
    "\n",
    "def callback_graph(weights, obj_func_eval):\n",
    "    clear_output(wait=True)\n",
    "    objective_func_vals.append(obj_func_eval)\n",
    "    plt.title(\"Objective function value against iteration\")\n",
    "    plt.xlabel(\"Iteration\")\n",
    "    plt.ylabel(\"Objective function value\")\n",
    "    plt.plot(range(len(objective_func_vals)), objective_func_vals)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "freelance-wesley",
   "metadata": {},
   "source": [
    "Now we are ready to construct the classifier and fit it. \n",
    "\n",
    "`VQC` stands for \"variational quantum classifier.\" It takes a feature map and an ansatz and constructs a quantum neural network automatically. In the simplest case it is enough to pass the number of qubits and a quantum instance to construct a valid classifier. You may omit the `sampler` parameter, in this case a `Sampler` instance will be created for you in the way we created it earlier. We created it manually for illustrative purposes only.\n",
    "\n",
    "Training may take some time. Please, be patient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "multiple-garbage",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 162 seconds\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "from qiskit_machine_learning.algorithms.classifiers import VQC\n",
    "\n",
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "laughing-regulation",
   "metadata": {},
   "source": [
    "Let's see how the quantum model performs on the real-life dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "formed-mineral",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset: 0.85\n",
      "Quantum VQC on the test dataset:     0.87\n"
     ]
    }
   ],
   "source": [
    "train_score_q4 = vqc.score(train_features, train_labels)\n",
    "test_score_q4 = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset: {train_score_q4:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset:     {test_score_q4:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "minimal-deviation",
   "metadata": {},
   "source": [
    "As we can see, the scores are high, and the model can be used to predict labels on unseen data.\n",
    "\n",
    "Now let's see what we can tune to get even better models.\n",
    "\n",
    "- The key components are the feature map and the ansatz. You can tweak parameters. In our case, you may change the `reps` parameter that specifies how repetitions of a gate pattern we add to the circuit. Larger values lead to more entanglement operations and more parameters. Thus, the model can be more flexible, but the higher number of parameters also adds complexity, and training such a model usually takes more time. Furthermore, we may end up overfitting the model. You can try the other feature maps and ansatzes available in the [Qiskit circuit library](https://qiskit.org/documentation/apidoc/circuit_library.html#n-local-circuits), or you can come up with custom circuits.\n",
    "- You may try other optimizers. Qiskit contains a bunch of them. Some of them are gradient-free, others not. If you choose a gradient-based optimizer, e.g., `L_BFGS_B`, expect the training time to increase. Additionally to the objective function, these optimizers must evaluate the gradient with respect to the training parameters, which leads to an increased number of circuit executions per iteration.\n",
    "- Another option is to randomly (or deterministically) sample `initial_point` and fit the model several times.\n",
    "\n",
    "But what if a dataset contains more features than a modern quantum computer can handle? Recall, in this example, we had the same number of qubits as the number of features in the dataset, but this may not always be the case.\n",
    "\n",
    "## 4. Reducing the Number of Features\n",
    "\n",
    "In this section, we reduce the number of features in our dataset and train our models again. We'll move through faster this time as the steps are the same except for the first, where we apply a PCA transformation. \n",
    "\n",
    "We transform our four features into two features only. This dimensionality reduction is for educational purposes only. As you saw in the previous section, we can train a quantum model using all four features from the dataset.\n",
    "\n",
    "Now, we can easily plot these two features on a single figure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "painted-montreal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "features = PCA(n_components=2).fit_transform(features)\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (6, 6)\n",
    "sns.scatterplot(x=features[:, 0], y=features[:, 1], hue=labels, palette=\"tab10\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "modular-hometown",
   "metadata": {},
   "source": [
    "As usual, we split the dataset first, then fit a classical model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "naval-agriculture",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classical SVC on the training dataset: 0.97\n",
      "Classical SVC on the test dataset:     0.90\n"
     ]
    }
   ],
   "source": [
    "train_features, test_features, train_labels, test_labels = train_test_split(\n",
    "    features, labels, train_size=0.8, random_state=algorithm_globals.random_seed\n",
    ")\n",
    "\n",
    "svc.fit(train_features, train_labels)\n",
    "\n",
    "train_score_c2 = svc.score(train_features, train_labels)\n",
    "test_score_c2 = svc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Classical SVC on the training dataset: {train_score_c2:.2f}\")\n",
    "print(f\"Classical SVC on the test dataset:     {test_score_c2:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chemical-subcommittee",
   "metadata": {},
   "source": [
    "The results are still good but slightly worse compared to the initial version. Let's see how a quantum model deals with them. As we now have two qubits, we must recreate the feature map and ansatz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "electric-novel",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_features = features.shape[1]\n",
    "\n",
    "feature_map = ZZFeatureMap(feature_dimension=num_features, reps=1)\n",
    "ansatz = RealAmplitudes(num_qubits=num_features, reps=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "competent-johnston",
   "metadata": {},
   "source": [
    "We also reduce the maximum number of iterations we run the optimization process for, as we expect it to converge faster because we now have fewer qubits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "younger-louisiana",
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = COBYLA(maxiter=40)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "proprietary-cookbook",
   "metadata": {},
   "source": [
    "Now we construct a quantum classifier from the new parameters and train it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "varied-capital",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 31 seconds\n"
     ]
    }
   ],
   "source": [
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "# make the objective function plot look nicer.\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 6)\n",
    "\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "developmental-crazy",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset using RealAmplitudes: 0.57\n",
      "Quantum VQC on the test dataset using RealAmplitudes:     0.43\n"
     ]
    }
   ],
   "source": [
    "train_score_q2_ra = vqc.score(train_features, train_labels)\n",
    "test_score_q2_ra = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset using RealAmplitudes: {train_score_q2_ra:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset using RealAmplitudes:     {test_score_q2_ra:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quarterly-singing",
   "metadata": {},
   "source": [
    "Well, the scores are higher than a fair coin toss but could be better. The objective function is almost flat towards the end, meaning increasing the number of iterations won't help, and model performance will stay the same. Let's see what we can do with another ansatz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "convinced-seven",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 47 seconds\n"
     ]
    }
   ],
   "source": [
    "from qiskit.circuit.library import EfficientSU2\n",
    "\n",
    "ansatz = EfficientSU2(num_qubits=num_features, reps=4)\n",
    "optimizer = COBYLA(maxiter=40)\n",
    "\n",
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "painted-reverse",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset using EfficientSU2: 0.79\n",
      "Quantum VQC on the test dataset using EfficientSU2:     0.80\n"
     ]
    }
   ],
   "source": [
    "train_score_q2_eff = vqc.score(train_features, train_labels)\n",
    "test_score_q2_eff = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset using EfficientSU2: {train_score_q2_eff:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset using EfficientSU2:     {test_score_q2_eff:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "alike-norway",
   "metadata": {},
   "source": [
    "The scores are better than in the previous setup. Perhaps if we had used more iterations, we could do even better."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fluid-truck",
   "metadata": {},
   "source": [
    "## 5. Conclusion\n",
    "\n",
    "In this tutorial, we have built two classical and three quantum machine learning models. Let's print an overall table with our results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "educated-snake",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model                           | Test Score | Train Score\n",
      "SVC, 4 features                 |       0.99 |       0.97\n",
      "VQC, 4 features, RealAmplitudes |       0.85 |       0.87\n",
      "----------------------------------------------------------\n",
      "SVC, 2 features                 |       0.97 |       0.90\n",
      "VQC, 2 features, RealAmplitudes |       0.57 |       0.43\n",
      "VQC, 2 features, EfficientSU2   |       0.79 |       0.80\n"
     ]
    }
   ],
   "source": [
    "print(f\"Model                           | Test Score | Train Score\")\n",
    "print(f\"SVC, 4 features                 | {train_score_c4:10.2f} | {test_score_c4:10.2f}\")\n",
    "print(f\"VQC, 4 features, RealAmplitudes | {train_score_q4:10.2f} | {test_score_q4:10.2f}\")\n",
    "print(f\"----------------------------------------------------------\")\n",
    "print(f\"SVC, 2 features                 | {train_score_c2:10.2f} | {test_score_c2:10.2f}\")\n",
    "print(f\"VQC, 2 features, RealAmplitudes | {train_score_q2_ra:10.2f} | {test_score_q2_ra:10.2f}\")\n",
    "print(f\"VQC, 2 features, EfficientSU2   | {train_score_q2_eff:10.2f} | {test_score_q2_eff:10.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
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    "Unsurprisingly, the classical models perform better than their quantum counterparts, but classical ML has come a long way, and quantum ML has yet to reach that level of maturity. As we can see,  we achieved the best results using a classical support vector machine. But the quantum model trained on four features was also quite good. When we reduced the number of features, the performance of all models went down as expected. So, if resources permit training a model on a full-featured dataset without any reduction, you should train such a model. If not, you may expect to compromise between dataset size, training time, and score.\n",
    "\n",
    "Another observation is that even a simple ansatz change can lead to better results. The two-feature model with the `EfficientSU2` ansatz performs better than the one with `RealAmplitudes`. That means the choice of hyperparameters plays the same critical role in quantum ML as in classical ML, and searching for optimal hyperparameters may take a long time. You may apply the same techniques we use in classical ML, such as random/grid or more sophisticated approaches.\n",
    "\n",
    "We hope this brief tutorial helps you to take the leap from classical to quantum ML."
   ]
  },
  {
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