Performances of seven class-specific classifiers using RF with the selected features
Activity (# features) . | Dataset . | SN . | SP . | ACC . | MCC . | AUC . |
---|---|---|---|---|---|---|
Anti-parasitic (120) | 10-fold CV | 0.7526 | 0.8366 | 0.8202 | 0.4955 | 0.8783 |
Testing | 0.6167 | 0.7732 | 0.7685 | 0.1570 | 0.7773 | |
Anti-viral (1130) | 10-fold CV | 0.9109 | 0.9324 | 0.9247 | 0.8382 | 0.9692 |
Testing | 0.9085 | 0.8406 | 0.8613 | 0.7075 | 0.9404 | |
Anti- cancer (263) | 10-fold CV | 0.7673 | 0.7888 | 0.7855 | 0.4507 | 0.8518 |
Testing | 0.7766 | 0.7060 | 0.7094 | 0.2208 | 0.8231 | |
Targeting mammals (362) | 10-fold CV | 0.8677 | 0.8893 | 0.8853 | 0.6620 | 0.9392 |
Testing | 0.7849 | 0.8045 | 0.8035 | 0.2998 | 0.8648 | |
Anti- fungal (606) | 10-fold CV | 0.8573 | 0.8553 | 0.8565 | 0.7050 | 0.9382 |
Testing | 0.8561 | 0.6675 | 0.7458 | 0.5186 | 0.8578 | |
Targeting Gram-positive bacteria (843) | 10-fold CV | 0.8852 | 0.8848 | 0.8851 | 0.7687 | 0.9583 |
Testing | 0.8877 | 0.6373 | 0.7423 | 0.5254 | 0.8745 | |
Targeting Gram-negative bacteria (839) | 10-fold CV | 0.8805 | 0.8815 | 0.8809 | 0.7606 | 0.9560 |
Testing | 0.8575 | 0.6574 | 0.7413 | 0.5116 | 0.8672 |
Activity (# features) . | Dataset . | SN . | SP . | ACC . | MCC . | AUC . |
---|---|---|---|---|---|---|
Anti-parasitic (120) | 10-fold CV | 0.7526 | 0.8366 | 0.8202 | 0.4955 | 0.8783 |
Testing | 0.6167 | 0.7732 | 0.7685 | 0.1570 | 0.7773 | |
Anti-viral (1130) | 10-fold CV | 0.9109 | 0.9324 | 0.9247 | 0.8382 | 0.9692 |
Testing | 0.9085 | 0.8406 | 0.8613 | 0.7075 | 0.9404 | |
Anti- cancer (263) | 10-fold CV | 0.7673 | 0.7888 | 0.7855 | 0.4507 | 0.8518 |
Testing | 0.7766 | 0.7060 | 0.7094 | 0.2208 | 0.8231 | |
Targeting mammals (362) | 10-fold CV | 0.8677 | 0.8893 | 0.8853 | 0.6620 | 0.9392 |
Testing | 0.7849 | 0.8045 | 0.8035 | 0.2998 | 0.8648 | |
Anti- fungal (606) | 10-fold CV | 0.8573 | 0.8553 | 0.8565 | 0.7050 | 0.9382 |
Testing | 0.8561 | 0.6675 | 0.7458 | 0.5186 | 0.8578 | |
Targeting Gram-positive bacteria (843) | 10-fold CV | 0.8852 | 0.8848 | 0.8851 | 0.7687 | 0.9583 |
Testing | 0.8877 | 0.6373 | 0.7423 | 0.5254 | 0.8745 | |
Targeting Gram-negative bacteria (839) | 10-fold CV | 0.8805 | 0.8815 | 0.8809 | 0.7606 | 0.9560 |
Testing | 0.8575 | 0.6574 | 0.7413 | 0.5116 | 0.8672 |
Note: SN, sensitivity; SP, specificity; ACC, accuracy; MCC, Matthews correlation coefficient; AUC, area under the receiver operating characteristic curve.
Performances of seven class-specific classifiers using RF with the selected features
Activity (# features) . | Dataset . | SN . | SP . | ACC . | MCC . | AUC . |
---|---|---|---|---|---|---|
Anti-parasitic (120) | 10-fold CV | 0.7526 | 0.8366 | 0.8202 | 0.4955 | 0.8783 |
Testing | 0.6167 | 0.7732 | 0.7685 | 0.1570 | 0.7773 | |
Anti-viral (1130) | 10-fold CV | 0.9109 | 0.9324 | 0.9247 | 0.8382 | 0.9692 |
Testing | 0.9085 | 0.8406 | 0.8613 | 0.7075 | 0.9404 | |
Anti- cancer (263) | 10-fold CV | 0.7673 | 0.7888 | 0.7855 | 0.4507 | 0.8518 |
Testing | 0.7766 | 0.7060 | 0.7094 | 0.2208 | 0.8231 | |
Targeting mammals (362) | 10-fold CV | 0.8677 | 0.8893 | 0.8853 | 0.6620 | 0.9392 |
Testing | 0.7849 | 0.8045 | 0.8035 | 0.2998 | 0.8648 | |
Anti- fungal (606) | 10-fold CV | 0.8573 | 0.8553 | 0.8565 | 0.7050 | 0.9382 |
Testing | 0.8561 | 0.6675 | 0.7458 | 0.5186 | 0.8578 | |
Targeting Gram-positive bacteria (843) | 10-fold CV | 0.8852 | 0.8848 | 0.8851 | 0.7687 | 0.9583 |
Testing | 0.8877 | 0.6373 | 0.7423 | 0.5254 | 0.8745 | |
Targeting Gram-negative bacteria (839) | 10-fold CV | 0.8805 | 0.8815 | 0.8809 | 0.7606 | 0.9560 |
Testing | 0.8575 | 0.6574 | 0.7413 | 0.5116 | 0.8672 |
Activity (# features) . | Dataset . | SN . | SP . | ACC . | MCC . | AUC . |
---|---|---|---|---|---|---|
Anti-parasitic (120) | 10-fold CV | 0.7526 | 0.8366 | 0.8202 | 0.4955 | 0.8783 |
Testing | 0.6167 | 0.7732 | 0.7685 | 0.1570 | 0.7773 | |
Anti-viral (1130) | 10-fold CV | 0.9109 | 0.9324 | 0.9247 | 0.8382 | 0.9692 |
Testing | 0.9085 | 0.8406 | 0.8613 | 0.7075 | 0.9404 | |
Anti- cancer (263) | 10-fold CV | 0.7673 | 0.7888 | 0.7855 | 0.4507 | 0.8518 |
Testing | 0.7766 | 0.7060 | 0.7094 | 0.2208 | 0.8231 | |
Targeting mammals (362) | 10-fold CV | 0.8677 | 0.8893 | 0.8853 | 0.6620 | 0.9392 |
Testing | 0.7849 | 0.8045 | 0.8035 | 0.2998 | 0.8648 | |
Anti- fungal (606) | 10-fold CV | 0.8573 | 0.8553 | 0.8565 | 0.7050 | 0.9382 |
Testing | 0.8561 | 0.6675 | 0.7458 | 0.5186 | 0.8578 | |
Targeting Gram-positive bacteria (843) | 10-fold CV | 0.8852 | 0.8848 | 0.8851 | 0.7687 | 0.9583 |
Testing | 0.8877 | 0.6373 | 0.7423 | 0.5254 | 0.8745 | |
Targeting Gram-negative bacteria (839) | 10-fold CV | 0.8805 | 0.8815 | 0.8809 | 0.7606 | 0.9560 |
Testing | 0.8575 | 0.6574 | 0.7413 | 0.5116 | 0.8672 |
Note: SN, sensitivity; SP, specificity; ACC, accuracy; MCC, Matthews correlation coefficient; AUC, area under the receiver operating characteristic curve.
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