dataset,dataset_title,model,mae,rmse,smape_pct,windows,prediction_length,context_length,num_covariates
appliances_energy,Appliances Energy Prediction,tirex1,40.09952817139802,69.16111504184882,29.785020196275834,6,24,336,0
appliances_energy,Appliances Energy Prediction,tirex2,40.56851942450912,71.43632243108594,29.846276086342474,6,24,336,31
seoul_bike,Seoul Bike Sharing Demand,tirex1,64.1853919559055,78.06515865567157,12.802135551013016,6,24,336,0
seoul_bike,Seoul Bike Sharing Demand,tirex2,77.41593954298231,100.02453620993178,16.432231818011022,6,24,336,20
uci_bike_hourly,UCI Bike Sharing Hourly,tirex1,41.381052547030976,56.38608636710535,64.58760069400182,6,24,336,0
uci_bike_hourly,UCI Bike Sharing Hourly,tirex2,51.6671556631724,67.54167427024983,79.23777752987048,6,24,336,18