Research Article
Breast Cancer Detection with Reduced Feature Set
Table 3
The confusion matrices of the classifiers using reduced one dimensionality by ICA (1F denotes one feature and 30F denotes original features).
| -NN classifier () | ANN classifier (neuron number 7) | | Recognized value | | Recognized value | Actual value | Malignant | Benign | Actual value | Malignant | Benign | | 1F | 30F | 1F | 30F | | 1F | 30F | 1F | 30F |
| Malignant | 338 (TP) | 346 | 19 (FN) | 11 | Malignant | 346 (TP) | 357 | 11 (FN) | 0 | Benign | 32 (FP) | 28 | 180 (TN) | 184 | Benign | 43 (FP) | 14 | 169 (TN) | 198 |
| RBFNN classifier (spread = 28) | SVM classifier () | | Recognized value | | Recognized value | Actual value | Malignant | Benign | Actual value | Malignant | Benign | | 1F | 30F | 1F | 30F | | 1F | 30F | 1F | 30F |
| Malignant | 345 (TP) | 334 | 12 (FN) | 23 | Malignant | 348 (TP) | 343 | 14 (FN) | 9 | Benign | 43 (FP) | 138 | 169 (TN) | 74 | Benign | 43 (FP) | 13 | 169 (TN) | 199 |
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