Research Article
Classification Prediction of Breast Cancer Based on Machine Learning
Table 3
Characteristic variables and labels.
| Number | Field | |
| 1 | Radius_mean | 0.730029 | 2 | Perimeter_mean | 0.742636 | 3 | Area_mean | 0.708984 | 4 | Compactness_mean | 0.596534 | 5 | Concavity_mean | 0.696360 | 6 | Concave points_mean | 0.776614 | 7 | Radius_se | 0.567134 | 8 | Perimeter_se | 0.556141 | 9 | Area_se | 0.548236 | 10 | Radius_worst | 0.776454 | 11 | Perimeter_worst | 0.782914 | 12 | Area_worst | 0.733825 | 13 | Compactness_worst | 0.590998 | 14 | Concavity_worst | 0.659610 | 15 | Concave points_worst | 0.793566 | Label | Diagnosis (M = malignant, B = benign) | 1.000000 |
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