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

Table 6 District-wise deviation percent of kharif cotton at F1 and F2 stages validated in 2020 and 2021 using random forest 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	69	25	579	475	18	512	482	6	62	23	579	418	28	512	412	20
Belagavi	57	18	414	479	–16	415	571	–38	73	30	414	406	2	415	369	11
Chitradurga	39	13	406	201	51	367	223	39	53	19	406	273	33	367	330	10
Dharwad	40	19	315	330	–5	323	286	12	38	17	315	281	11	323	326	–1
Haveri	57	18	341	506	–48	404	515	–28	46	15	341	455	–34	404	436	–8
Kalaburagi	85	23	405	680	–68	522	664	–27	89	22	405	662	–64	522	756	−45
Koppal	105	39	382	305	20	374	374	0	76	24	382	541	–42	374	439	–17
Mysuru	53	18	286	245	14	226	234	–4	28	10	286	92	68	226	359	–59
Raichur	29	13	530	514	3	429	468	–9	37	16	530	439	17	429	491	–15
Vijayapura	60	22	360	371	–3	481	398	17	63	21	360	393	–9	481	410	15

ISSN: 2523-3254