Table 3.
Model | SE 1 | SP_B 2 | SP_C 3 | Q 4 | MCC 5 |
---|---|---|---|---|---|
ExtCDK FP | |||||
50 6 | 0.41 | 0.19 | 0.65 | 0.59 | 0.21 |
100 6 | 0.44 | 0.14 | 0.70 | 0.64 | 0.23 |
150 6 | 0.46 | 0.17 | 0.71 | 0.64 | 0.27 |
200 6 | 0.44 | 0.14 | 0.71 | 0.65 | 0.23 |
1D&2D descriptors | |||||
50 6 | 0.54 | 0.11 | 0.69 | 0.63 | 0.25 |
100 6 | 0.59 | 0.09 | 0.70 | 0.64 | 0.25 |
150 6 | 0.55 | 0.12 | 0.69 | 0.63 | 0.26 |
200 6 | 0.55 | 0.08 | 0.71 | 0.65 | 0.22 |
1 Sensitivity, the ratio of true A to the sum of true A and false A. 2 Specificity B, the ratio of true B to the sum of true B and false B. 3 Specificity C, the ratio of true C to the sum of true C and false C. 4 Overall predictive accuracy, the ratio of the sum of true A, true B, and true C to the sum of true A, true B, true C, false A, false B, and false C. 5 MCC, Matthews correlation coefficient. 6 The most important descriptors in accordance with the mean decrease in accuracy.