Mathematical Problems in Engineering / 2010 / Article / Tab 4

Research Article

Parametric and Nonparametric Empirical Regression Models: Case Study of Copper Bromide Laser Generation

Table 4

Results of the cross validation of the models utilizing independent data sets (70% training set and 30% evaluation set).

ModelTraining set 70%Evaluation set 30%Number of predictors
R2R2 adj.MARSR2R2 adj.
GCV
R2

MLR 0th-order, no interactions0.9450.9420.9480.9473
MLR 1st-order interactions0.9480.9450.9550.9546
MLR 2nd-order interactions0.9680.9640.9670.9657
MARS 0th-order, no interactions0.9630.9600.9520.9660.9653
MARS 1st-order interactions 0.9770.9740.9510.9570.9566
MARS 2nd-order interactions 0.9650.9620.9530.9660.9654

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