Table 4.
Model | Data set | Classifier | Score |
---|---|---|---|
PICS | Data Set I | Cosine Similarity | Bayesian Averaging Algorithm |
Tanimoto Coefficient | |||
Ψi Score | |||
MICA | |||
PGAS | Data Set II | Cosine Similarity | Bayesian Averaging Algorithm |
Tanimoto Coefficient | |||
CPML | Data Set III | Logistic Regression | Bayesian Averaging Algorithm |
K-Nearest Neighbor | |||
Random Forest | |||
Extra Trees | |||
Naive Bayes | |||
Deep Neural Network | |||
APML | Data Set IV | Logistic Regression | Bayesian Averaging Algorithm |
K-Nearest Neighbor | |||
Random Forest | |||
Extra Trees | |||
Naive Bayes | |||
Deep Neural Network |
MICA, Most Informative Common Ancestor.