Fig 6. This plot shows the area under the Receiver Operating Characteristic (ROC), (AUC) of all the learning algorithms.

The green and the blue curve shows the ROC curve using the training and testing data respectively. XGBoost has the highest AUC value of 0.97. (a) C5.0 DT. (b) KNN. (c) Logistic Regression. (d) ANN. (e) Random Forest. (f) XGBoost. (g) svmLinear. (h) svmRadial.