dataset,dataset_title,model,mae,rmse,smape_pct,windows,prediction_length,context_length,num_covariates
appliances_energy,Appliances Energy Prediction,tirex1,49.72653945287069,68.89205625784048,32.179879142685266,6,12,336,0
appliances_energy,Appliances Energy Prediction,tirex2,48.58955333851002,67.94532709515867,30.861252231860988,6,12,336,31
seoul_bike,Seoul Bike Sharing Demand,tirex1,36.28586451212565,44.64975604728965,6.119311576114735,6,12,336,0
seoul_bike,Seoul Bike Sharing Demand,tirex2,42.621039072672524,54.713581990374315,7.6541659643694,6,12,336,20
uci_bike_hourly,UCI Bike Sharing Hourly,tirex1,22.061109913720028,30.18931695147943,37.424820353511244,6,12,336,0
uci_bike_hourly,UCI Bike Sharing Hourly,tirex2,30.846296999189587,42.278660694800614,51.53007457946277,6,12,336,18