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

Table 4 District-wise deviation percent of kharif cotton yield at F1 and F2 stages validated in 2020 and 2021 using ARIMAX 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	48	17	579	525	9	512	582	–14	55	19	579	316	45	512	305	40
Belagavi	52	16	414	479	–16	415	586	–41	79	33	414	312	25	415	356	14
Chitradurga	41	15	406	272	33	367	296	19	47	17	406	316	22	367	336	9
Dharwad	32	11	315	347	–10	323	316	2	34	15	315	306	3	323	350	–8
Haveri	52	16	341	478	–40	404	562	–39	32	9	341	267	22	404	300	26
Kalaburagi	81	23	405	756	–87	522	776	–49	77	22	405	765	–89	522	848	–62
Koppal	87	28	382	271	29	374	418	–12	81	23	382	356	7	374	248	34
Mysuru	51	16	286	276	3	226	235	–4	43	15	286	179	38	226	322	–43
Raichur	43	21	530	505	5	429	509	–19	41	22	530	544	–3	429	547	–28
Vijayapura	41	16	360	511	–42	481	212	56	39	16	360	509	–42	481	515	–7

ISSN: 2523-3254