Table 7 The drug and the metabolites data tested with Set 1, Set 2, Set 3 with random forest
From: In-silico predictive mutagenicity model generation using supervised learning approaches
Datasets | True Positives | False Negatives | True Negative | False Positives |
|---|---|---|---|---|
Set1 (Drug Data) | 16.7 | 83.3 | 84.6 | 15.4 |
Set1(Metabolites) | 17.2 | 82.8 | 84 | 16 |
Set1(Cost sensitive classification of Drug data) | 13.6 | 86.4 | 90.2 | 9.8 |
Set2 (Drug Data) | 19.7 | 80.3 | 84.4 | 15.6 |
Set2 (Metabolites) | 16.6 | 83.4 | 85.3 | 14.7 |
Set2 (Cost sensitive classification of Drug data) | 12.3 | 87.7 | 91 | 9 |
Set3(Drug Data) | 21.2 | 78.8 | 85.3 | 14.7 |
Set3 (Metabolites) | 15.6 | 84.4 | 85.8 | 14.2 |
Set3 (Cost sensitive classification of Drug data) | 12.1 | 87.9 | 90.8 | 9.2 |