dataset,dataset_title,model,mae,rmse,smape_pct,windows,prediction_length,context_length,num_covariates
appliances_energy,Appliances Energy Prediction,tirex1,37.03914216271153,67.488340246644,28.85251393718138,6,48,336,0
appliances_energy,Appliances Energy Prediction,tirex2,37.00834748480055,68.80383988147345,28.44022836127631,6,48,336,31
seoul_bike,Seoul Bike Sharing Demand,tirex1,101.66443803575304,134.43161891808188,20.552716826225037,6,48,336,0
seoul_bike,Seoul Bike Sharing Demand,tirex2,125.62048032548692,162.38765059488554,26.827584535541146,6,48,336,20
uci_bike_hourly,UCI Bike Sharing Hourly,tirex1,56.26726602183448,80.87298289025223,63.32798446402651,6,48,336,0
uci_bike_hourly,UCI Bike Sharing Hourly,tirex2,49.98531815740797,71.12496412216792,68.58260055789151,6,48,336,18