dataset,dataset_title,model,mae,rmse,smape_pct,windows,prediction_length,context_length,num_covariates
appliances_energy,Appliances Energy Prediction,tirex1,32.079749425252274,62.019924697470984,26.251212169071685,4,168,336,0
appliances_energy,Appliances Energy Prediction,tirex2,32.09448608330318,62.69739900783951,26.070142914761263,4,168,336,31
seoul_bike,Seoul Bike Sharing Demand,tirex1,304.76371660686675,393.79063362156455,63.32450083643669,4,168,336,0
seoul_bike,Seoul Bike Sharing Demand,tirex2,282.0921091806321,366.1241338592139,60.448326623022595,4,168,336,20
uci_bike_hourly,UCI Bike Sharing Hourly,tirex1,44.040609007789975,65.76305282934997,41.98217665722277,4,168,336,0
uci_bike_hourly,UCI Bike Sharing Hourly,tirex2,52.041126035508654,78.69359674274025,48.44406897993055,4,168,336,18