A Prediction Model Optimization Critiques through Centroid Clustering by Reducing the Sample Size, Integrating Statistical and Machine Learning Techniques for Wheat Productivity

Table 2

Integrating machine learning and tradition statistics modeling for MLR.

Datasets	Machine learning MLRM						Statistical MLRM
	P.Score	RMSE	AIC	ΔAICi	AICWi	E.R	P.Score	RMSE	AIC	ΔAICi	AICWi	E.R
D1	0.266 (0.264)	9.14 (9.21)	4.43	2.80	0.11	4.06	0.265	9.17	4.43	2.17	0.13	2.96
D2	0.289 (0.285)	7.65 (8.09)	4.07	2.45	0.13	3.41	0.287	7.77	4.10	1.84	0.15	2.51
D3	0.838 (0.834)	3.15 (3.34)	2.43	0.81	0.30	1.50	0.823	3.35	2.52	0.26	0.34	1.14
D4	0.932 (0.655)	1.95 (3.31)	1.62		0.45		0.862	2.66	2.26		0.38

Testing dataset values are shown in parenthesis.