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Analyzing APS Models Statistically Statistical Analysis of Classification Models   For Classification models, APS 3.0 enables you to evaluate easily and without leaving the APS modeling environment, the following statistical functions both for training and testing data: Classification Error Classification Accuracy Confusion Matrix Sensitivity Specificity PPV (positive predictive value) NPV (negative predictive value) R-square Correlation Coefficient MSE (mean squared error) RMSE (root mean squared error) MAE (mean absolute error) RSE (relative squared error) RRSE (root relative squared error) RAE (relative absolute error) Home | Contents | Previous | Next