Journal of Control Science and Engineering / 2017 / Article / Tab 4

Research Article

Parameter Selection Method for Support Vector Regression Based on Adaptive Fusion of the Mixed Kernel Function

Table 4

Results of sample prediction error.

DataStatistical indicatorsAlgorithms
Algo1Algo2Algo3Algo4Algo5

Train dataMAE0.00530.00730.00940.01560.0200
RMSE0.00980.01460.01980.02980.0399
SD0.00600.00900.01100.01790.0228

Test dataMAE0.00950.01280.01710.02080.0274
RMSE0.01110.01520.01950.02410.0319
SD0.01100.01500.02030.02520.0331

Here, MAE represents mean absolute error, RMSE represents mean square error, and SD represents standard deviation.

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