Tab. II.
Mean and standard deviation of sensitivity, specificity, PPV, NPV, total accuracy, positive LR and negative LR for various models.
Scenario | Models | Sensitivity | Specificity | PPV | NPV | TA | LR+ | LR- | |||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mean | Std. dv |
Mean | Std. dv |
Mean | Std. dv |
Mean | Std. dv |
Mean | Std. dv |
Mean | Std.dv | Mean | Std.dv | ||
70, 30 | NB | 0.79 | 0.10 | 0.55 | 0.13 | 0.64 | 0.08 | 0.74 | 0.10 | 0.67 | 0.05 | 1.92 | 0.54 | 0.35 | 0.14 |
LSSVM | 0.61 | 0.09 | 0.67 | 0.09 | 0.65 | 0.08 | 0.64 | 0.07 | 0.64 | 0.05 | 2.06 | 0.86 | 0.51 | 0.01 | |
RF | 0.71 | 0.08 | 0.67 | 0.08 | 0.68 | 0.07 | 0.70 | 0.08 | 0.68 | 0.04 | 2.06 | 0.61 | 0.51 | 0.11 | |
SVM | 0.72 | 0.89 | 0.64 | 0.1 | 0.67 | 0.08 | 0.70 | 0.09 | 0.68 | 0.05 | 2.06 | 0.65 | 0.51 | 0.13 | |
LR | 0.67 | 0.08 | 0.65 | 0.1 | 0.66 | 0.08 | 0.66 | 0.09 | 0.66 | 0.06 | 2.06 | 0.64 | 0.51 | 0.15 | |
LDA | 0.68 | 0.08 | 0.64 | 0.10 | 0.66 | 0.08 | 0.66 | 0.09 | 0.55 | 0.06 | 2.06 | 0.66 | 0.51 | 0.16 | |
50, 50 | NB | 0.77 | 0.15 | 0.56 | 0.15 | 0.64 | 0.07 | 0.74 | 0.10 | 0.66 | 0.05 | 1.90 | 0.45 | 0.37 | 0.17 |
LSSVM | 0.62 | 0.10 | 0.63 | 0.10 | 0.63 | 0.07 | 0.63 | 0.06 | 0.63 | 0.04 | 1.90 | 0.46 | 0.51 | 0.13 | |
RF | 0.71 | 0.09 | 0.57 | 0.09 | 0.68 | 0.07 | 0.70 | 0.07 | 0.68 | 0.04 | 1.90 | 0.43 | 0.51 | 0.11 | |
SVM | 0.69 | 0.10 | 0.63 | 0.1 | 0.65 | 0.06 | 0.68 | 0.08 | 0.66 | 0.04 | 1.90 | 0.42 | 0.51 | 0.13 | |
LR | 0.67 | 0.09 | 0.63 | 0.08 | 0.65 | 0.06 | 0.66 | 0.07 | 0.66 | 0.04 | 1.90 | 0.65 | 0.51 | 0.11 | |
LDA | 0.68 | 0.09 | 0.63 | 0.09 | 0.64 | 0.06 | 0.66 | 0.07 | 0.65 | 0.04 | 1.90 | 0.50 | 0.51 | 0.12 |