Table 3. Descriptor model.
Calibrated classifier performance in the training data (10-fold cross validated), the calculated probabilities are sorted into 10 equally sized bins. Additionally, the results from applying the calibrated descriptor model to the validation data are given.
bin | training data | validation data | ||||
---|---|---|---|---|---|---|
| ||||||
n benign | n malignant | cancer yield | n benign | n malignant | cancer yield | |
1 | 128 | 0 | 0 | 80 | 2 | 0.02439 |
2 | 128 | 0 | 0 | 95 | 0 | 0 |
3 | 128 | 0 | 0 | 191 | 5 | 0.02551 |
4 | 124 | 4 | 0.03125 | 102 | 2 | 0.019231 |
5 | 128 | 0 | 0 | 137 | 6 | 0.041958 |
6 | 126 | 2 | 0.015625 | 101 | 7 | 0.064815 |
7 | 119 | 9 | 0.070313 | 82 | 12 | 0.12766 |
8 | 110 | 18 | 0.140625 | 79 | 26 | 0.247619 |
9 | 94 | 34 | 0.265625 | 100 | 27 | 0.212598 |
10 | 53 | 71 | 0.572581 | 35 | 88 | 0.715447 |