Comparative analysis of machine learning and statistical models for cotton yield prediction in major growing districts of Karnataka, India

Table 5 District-wise deviation percent of kharif cotton yield at F1 and F2 stages validated 2020 and 2021 using LASSO model

District	RMSE	MAPE	F1 stage						RMSE	MAPE	F2 stage
			2020			2021					2020			2021
			A	P	*D/%*	A	P	*D/%*			A	P	*D/%*	A	P	*D/%*
Ballari	62	18	579	451	22	512	457	11	58	18	579	334	42	512	322	37
Belagavi	48	16	414	487	–18	415	552	–33	82	32	414	290	30	415	313	25
Chitradurga	38	13	406	241	41	367	245	33	40	14	406	263	35	367	270	26
Dharwad	33	14	315	328	–4	323	301	7	35	16	315	287	9	323	325	–1
Haveri	48	16	341	405	–19	404	456	–13	31	10	341	295	14	404	333	18
Kalaburagi	83	22	405	725	–79	522	736	–41	79	20	405	740	–83	522	808	–55
Koppal	91	33	382	302	21	374	425	–14	85	30	382	366	4	374	285	24
Mysuru	49	16	286	278	3	226	224	1	44	14	286	174	39	226	249	–10
Raichur	41	20	530	489	8	429	501	–17	40	19	530	516	3	429	540	–26
Vijayapura	40	14	360	486	–35	481	440	9	38	14	360	494	–37	481	697	–45

ISSN: 2523-3254