5.3 Stopped Training The Fit Statistics window shows good model performance on both the average squared error and misclassification scales.
Target TargetB argetB argetB argetB argetB argetB TargetB TargetB TargetB TargetB TargetB TargetB TargetB argetB argetB TargetB TargetB argetB argetB argetB argetB
Fit Statistics Statistics Train Validation Test Label _DFT_ Total Degre.. 4843 _DFE_ Degrees of.. 4806 _DFM_ Model Degr... 37 Number of... 37 _NW_ Akaike's Inf... 6601.6 _AIC_ Schwarz's... 6841.556 _SBC_ Average Sq... 0.240623 _ASE_ 0.23988 Maximum A... 0.857328 _MAX_ 0.869935 Divisor for A. 9686 _DIV_ 9686 Sum ofFre... 4843 _NOBS_ 4843 RootAvera... 0.490533 _RASE_ 0.489776 Sum ofSqu.. 2330.673 _SSE_ 2323.478 Sum of Cas.. 9686 _SUMW_ 9686 Final Predic. 0.244328 _FPE_ Mean Squa... 0.242475 _MSE_ 0.23988 Root Final... 0.494295 _RFPE_ Root Mean... 0.492418 0.489776 _RMSE_ Average Err... 0.673921 0.672391 _AVERR_ Error Functi... 6527.6 6512.78 _ERR_ Misclassific. 0.427421 0.422878 _MISC_ Number of... 2070 2048 WRONG
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