Table 10: Comparison of classification accuracy among the ANN, LR-ANN, and MARS-ANN models.

Correlation Shift value Type of mean shiftsANNLR-ANNMARS-ANN

0.10.5(1, 0, …, 0)60.80%61.20%58.40%
(1, 0, 1, 0, …, 0)60.80%59.20%62.40%
(1, 0, 1, 0, 1, 0, …, 0)56.00%70.40%58.80%
1.0(1, 0, …, 0)58.00%80.40%85.60%
(1, 0, 1, 0, …, 0)86.40%84.80%81.20%
(1, 0, 1, 0, 1, 0, …, 0)56.00%92.80%86.00%

0.50.5(1, 0, …, 0)38.80%66.00%59.60%
(1, 0, 1, 0, …, 0)46.00%55.60%62.00%
(1, 0, 1, 0, 1, 0, …, 0)46.40%70.80%64.80%
1.0(1, 0, …, 0)90.40%91.60%94.00%
(1, 0, 1, 0, …, 0)94.40%63.60%94.40%
(1, 0, 1, 0, 1, 0, …, 0)85.20%96.40%94.00%

0.90.5(1, 0, …, 0)82.40%93.20%81.30%
(1, 0, 1, 0, …, 0)94.40%82.80%94.40%
(1, 0, 1, 0, 1, 0, …, 0)56.00%96.80%92.00%
1.0(1, 0, …, 0)98.80%44.00%100.00%
(1, 0, 1, 0, …, 0)100.00%100.00%100.00%
(1, 0, 1, 0, 1, 0, …, 0)98.40%100.00%99.20%

Average of accurate identification rates72.73%78.31%81.57%
Standard error of accurate identification rates0.050070.040920.03767