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Analyzing APS Models Statistically Statistical Analysis of Time Series Prediction Models   For Time Series Prediction models, APS 3.0 enables you to evaluate easily and without leaving the APS modeling environment, the following statistical functions both for training and recursive testing: 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