Monthly Rainfall Estimation Using Data-Mining Process

Table 2

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

Input parameters	Eğirdir-Uluborlu		Eğirdir-Yalvaç		Eğirdir-Senirkent		Senirkent-Uluborlu		Senirkent-Yalvaç		Uluborlu-Yalvaç
Models	𝑅^2	RMSE	𝑅^2	RMSE	𝑅^2	RMSE	𝑅^2	RMSE	𝑅^2	RMSE	𝑅^2	RMSE
Decision Table	0.638	68.62	0.254	141.52	0.695	57.90	0.695	57.90	0.695	57.90	0.638	68.62
KStar	0.765	44.52	0.732	50.83	0.751	47.21	0.727	51.81	0.668	62.93	0.684	60.07
Multilinear Regression	0.807	36.65	0.743	48.80	0.792	39.40	0.765	44.60	0.745	48.44	0.717	53.63
M5’Rules	0.807	36.65	0.743	48.80	0.792	39.40	0.765	44.60	0.745	48.44	0.717	53.63
Multilayer Perceptron	0.796	38.64	0.743	48.69	0.746	48.29	0.678	61.08	0.662	64.12	0.670	62.64
RBF Network	0.663	63.87	0.550	85.41	0.568	81.96	0.647	67.02	0.556	84.19	0.567	82.21
Random Subspace	0.782	41.45	0.620	72.05	0.725	52.27	0.695	57.93	0.610	74.12	0.638	68.65
Simple Linear	0.717	53.63	0.671	62.49	0.745	48.44	0.745	48.44	0.745	48.44	0.717	53.63
Regression