Table 3: The performance criteria of the models having 3-input parameters.

Input parametersSenirkent-Uluborlu-EğirdirSenirkent Uluborlu-YalvaçSenirkent-Yalvaç-EğirdirUluborlu-Yalvaç-Eğirdir
Models 𝑅 2 RMSE 𝑅 2 RMSE 𝑅 2 RMSE 𝑅 2 RMSE

Decision Table0.69557.900.69557.900.69557.900.63868.62
KStar0.77143.540.69358.200.74548.330.77143.43
Multilinear Regression0.81335.430.76544.600.79239.400.79838.38
M5’Rules0.80836.430.76544.600.79239.400.71154.89
Multilayer Perceptron0.77442.830.72651.980.77243.330.79738.55
RBF Network0.62271.670.56083.480.58379.230.57480.90
Random Subspace0.76045.620.68060.830.71454.310.75746.12
Simple Linear0.74548.440.74548.440.74548.440.71753.63
Regression