Monthly Rainfall Estimation Using Data-Mining Process

Table 1

The performance criteria of the models having 1-input parameter.

Input parameters	Eğirdir		Senirkent		Uluborlu		Yalvaç
Models	𝑅^2	RMSE	𝑅^2	RMSE	𝑅^2	RMSE	𝑅^2	RMSE
Decision Table	0.254	141.5	0.695	57.90	0.638	68.62	0.531	89.10
KStar	0.686	59.60	0.641	68.14	0.648	66.82	0.543	86.70
Multilinear Regression	0.671	62.49	0.745	48.44	0.717	53.63	0.616	72.84
M5’Rules	0.671	62.49	0.745	48.44	0.717	53.63	0.616	72.84
Multilayer Perceptron	0.711	54.89	0.649	66.58	0.653	65.81	0.578	80.06
RBF Network	0.533	88.67	0.641	68.13	0.672	62.28	0.495	95.81
Random Subspace	0.617	72.71	0.634	69.56	0.590	77.77	0.492	96.43
Simple Linear Regression	0.671	62.49	0.745	48.44	0.717	53.63	0.616	72.84