Table 4:
The performance criteria of the models having 4-input parameters.
Modeller
𝑅
2
RMSE
Decision Table
0.695
57.90
KStar
0.761
45.33
Multilinear Regression
0.806
36.89
M5’Rules
0.766
44.35
Multilayer Perceptron
0.774
42.91
RBF Network
0.573
80.95
Random Subspace
0.757
46.17
Simple Linear Regression
0.745
48.44