Mathematical Problems in Engineering / 2020 / Article / Tab 4

Research Article

Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model

Table 4

Comparative results of various methods averaged over 20 runs.

PhaseMetricsEGBO-LSSVMBPANNMARSRegTree
MeanStdMeanStdMeanStdMeanStd

TrainingRMSE0.00470.040.01100.530.00730.120.00880.19
MAPE (%)1.02470.453.79137.822.17342.113.14292.82
R20.94700.030.79080.060.89820.030.85910.03

TestingRMSE0.00660.420.00970.670.00800.610.00840.75
MAPE (%)1.65022.832.36315.282.02964.172.09155.41
R20.84760.140.74670.160.79410.140.75630.21

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