Decision Tree-Combine | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.511241 | 0.4384343 | 0.4433902 | 70.34483% |
0 | 0.7805227 | 0.8257206 | 0.7963284 | 70.34483% |
Decision Tree-Clinical | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.5509524 | 0.3108586 | 0.3670707 | 70.68966% |
0 | 0.7591357 | 0.8680392 | 0.8059787 | 70.68966% |
Decision Tree-Gene | ||||
Class | Precision | Recall | F1 | Overall-Accuracy |
1 | 0.5029076 | 0.4293434 | 0.4319616 | 70.00000% |
0 | 0.7779074 | 0.8257206 | 0.7945314 | 70.00000% |