Table 2. Classification of WTC-11 and TS cells.
Results of algorithms with the best performance.
TPR WTC-11 (%) | TPR TS (%) | Accuracy (%) | F1 score (%) | MCC (%) | |
---|---|---|---|---|---|
Decision trees | 93 | 91 | 92 | 91 | 85 |
Quadratic discriminant analysis | 98 | 84 | 92 | 90 | 84 |
SVM with cubic kernel, C = 0.22859 | 94 | 87 | 91 | 90 | 83 |
k-NN with Mahalanobis metric and squared inverse weighting, k = 3 | 94 | 87 | 91 | 89 | 82 |
SVM with quadratic kernel, C = 998 | 92 | 87 | 90 | 88 | 80 |
k-NN with Mahalanobis metric and equal weighting, k = 1 | 91 | 87 | 89 | 88 | 79 |
k-NN with Mahalanobis metric and inverse weighting, k = 5 | 90 | 88 | 89 | 88 | 79 |
Naïve Bayes with box kernel | 88 | 81 | 85 | 83 | 72 |