Tab. IV.
Mean and standard deviation of total accuracy, sensitivity, specificity, positive likelihood ratio and negative likelihood ratio for DT, NN, SVM and LR.
Models | Total accuracy | Sensitivity | Specificity | Positive likelihood ratio | Negative likelihood ratio | |||||
---|---|---|---|---|---|---|---|---|---|---|
Mean | SD | Mean | SD | Mean | SD | Mean | SD | Mean | SD | |
Decision tree | 0.66 | 0.05 | 0.65 | 0.06 | 0.67 | 0.05 | 2.03 | 0.47 | 0.53 | 0.11 |
Neural network | 0.61 | 0.05 | 0.58 | 0.09 | 0.72 | 0.07 | 1.7 | 0.38 | 0.65 | 0.17 |
Support vector machine | 0.68 | 0.04 | 0.66 | 0.07 | 0.70 | 0.04 | 2.25 | 0.45 | 0.48 | 0.10 |
Logistic regression | 0.71 | 0.05 | 0.69 | 0.07 | 0.72 | 0.04 | 2.48 | 0.53 | 0.43 | 0.11 |