Table 5 Comparing the tenfold cross-validation performance of DDIPred and SVM on two gold standard datasets
From: In silico drug repositioning using deep learning and comprehensive similarity measures
Datasets | Methods | Acc (%) | TPR (%) | TNR (%) | PPV (%) | MCC (%) |
|---|---|---|---|---|---|---|
Cdataset | SVM | 72.57 | 70.99 | 76.41 | 68.70 | 45.25 |
DDIPred | 81.48 | 80.59 | 83.01 | 80.03 | 63.06 | |
Fdataset | SVM | 70.15 | 69.06 | 73.00 | 67.34 | 40.36 |
DDIPred | 77.83 | 77.13 | 79.22 | 76.57 | 55.80 |