Dataset | Model | Training Error | Testing Error | AUC | ACC |
IBM Waston | Naïve Bayes | 0.23829 | 0.25334 | 0.81721 | 76% |
SVM | 0.20564 | 0.20335 | 0.83683 | 80% | |
Decision Tree | 0.086392 | 0.23684 | 0.76198 | 76.3% | |
Cell2cell | Naïve Bayes | 0.021036 | 0.019907 | 0.98149 | 90% |
SVM | 0.0082883 | 0.0089536 | 0.99212 | 98.2% | |
Decision Tree | 0.12620 | 0.012142 | 0.9855 | 98.8% |