chronos-forecasting/scripts/evaluation/results/seasonal-naive-zero-shot.csv

1	dataset	model	MASE	WQL
2	ETTh	seasonal-naive	0.9316203114697056	0.1220896585205886
3	ETTm	seasonal-naive	1.1693053852270578	0.1413480385734046
4	dominick	seasonal-naive	0.8706150115348875	0.4529164093744346
5	ercot	seasonal-naive	0.7613354813741452	0.0366036447606282
6	exchange_rate	seasonal-naive	1.7401824286954128	0.0129841406759913
7	m4_quarterly	seasonal-naive	1.6022471766126911	0.1186484661559648
8	m4_yearly	seasonal-naive	3.974360261259571	0.1614389663357925
9	m5	seasonal-naive	1.399206213076729	1.0240883478068443
10	monash_australian_electricity	seasonal-naive	1.2533189641227642	0.0836951323308387
11	monash_car_parts	seasonal-naive	1.2014638390969912	1.5999522140809177
12	monash_cif_2016	seasonal-naive	1.289290577415544	0.0150830409089921
13	monash_covid_deaths	seasonal-naive	46.91239825526407	0.1330848762571827
14	monash_fred_md	seasonal-naive	1.1008000463101226	0.1222237702571737
15	monash_hospital	seasonal-naive	0.9205278266364826	0.0726263373268254
16	monash_m1_monthly	seasonal-naive	1.3144614957646543	0.1914632595030148
17	monash_m1_quarterly	seasonal-naive	2.077536550805995	0.1495022062865622
18	monash_m1_yearly	seasonal-naive	4.894322225232431	0.2092955931101782
19	monash_m3_monthly	seasonal-naive	1.1462045758327934	0.1485446007554992
20	monash_m3_quarterly	seasonal-naive	1.425343793700714	0.1012520529806161
21	monash_m3_yearly	seasonal-naive	3.1717102364409517	0.1665329650420048
22	monash_nn5_weekly	seasonal-naive	1.0628482559107015	0.1226908962169196
23	monash_tourism_monthly	seasonal-naive	1.630939994944413	0.1041824322151567
24	monash_tourism_quarterly	seasonal-naive	1.6989892627474672	0.1193750169177449
25	monash_tourism_yearly	seasonal-naive	3.5520097206480883	0.2091826587673241
26	monash_traffic	seasonal-naive	1.0767397173107436	0.3618532196990004
27	monash_weather	seasonal-naive	1.0038475713182748	0.2165947349654047
28	nn5	seasonal-naive	1.2917285866431214	0.4246208074843067