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1 | ## About Dataset |
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2 | This is the dataset of 100 patients to implement the machine learning algorithm and thereby interpreting results |
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4 | The data set consists of 100 observations and 10 variables (out of which 8 numeric variables and one categorical variable and is ID) which are as follows: |
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6 | ### Id |
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7 | 1.Radius |
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8 | 2.Texture |
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9 | 3.Perimeter |
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10 | 4.Area |
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11 | 5.Smoothness |
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12 | 6.Compactness |
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13 | 7.diagnosis_result |
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14 | 8.Symmetry |
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15 | 9.Fractal dimension |