Table 2: The performance criteria of the models having 2-input parameters.

Input parametersEğirdir-UluborluEğirdir-YalvaçEğirdir-SenirkentSenirkent-UluborluSenirkent-YalvaçUluborlu-Yalvaç
Models 𝑅 2 RMSE 𝑅 2 RMSE 𝑅 2 RMSE 𝑅 2 RMSE 𝑅 2 RMSE 𝑅 2 RMSE

Decision Table0.63868.620.254141.520.69557.900.69557.900.69557.900.63868.62
KStar0.76544.520.73250.830.75147.210.72751.810.66862.930.68460.07
Multilinear Regression0.80736.650.74348.800.79239.400.76544.600.74548.440.71753.63
M5’Rules0.80736.650.74348.800.79239.400.76544.600.74548.440.71753.63
Multilayer Perceptron0.79638.640.74348.690.74648.290.67861.080.66264.120.67062.64
RBF Network0.66363.870.55085.410.56881.960.64767.020.55684.190.56782.21
Random Subspace0.78241.450.62072.050.72552.270.69557.930.61074.120.63868.65
Simple Linear0.71753.630.67162.490.74548.440.74548.440.74548.440.71753.63
Regression