Once the Model is built we want to check its performance, i did the following Predicted it on training set.Compute confusion matrix and ROC curve on training set.Predicted on test set Computed Confusion Matrix and ROC Curve on test set.I want to know is it a right way and what more precise can be done?I am using Decision Tress  Random Forest SVM Both Linear Radial Naive Bayeian Logistic regression and Neural Network.  Do all of them have different Performance Measure
Testing Model Performance
r;predictive modeling;performance