StockSenseconnecting

Models

Walk-forward backtest results (3 folds, 14-day forecast horizon). Lower MAPE is better; bias near zero is better. Computed by the offline Python pipeline.

seasonal_naive_7
Overall MAPE
27.4%
RMSE
18.6
Bias
1.53
Selected for 1 / 24 panels
hgbt
Overall MAPE
21.9%
RMSE
15.1
Bias
-0.18
Selected for 23 / 24 panels

Per-panel MAPE

SKUSegmentseasonal_naive_7hgbtWinner
CTR-32OZfood service26.5%20.9%hgbt
CTR-32OZhealthcare31.1%26.2%hgbt
CTR-8OZfood service25.1%16.3%hgbt
CTR-8OZhealthcare33.2%23.1%hgbt
CUT-FRKfood service21.9%19.2%hgbt
CUT-FRKhealthcare25.9%21.1%hgbt
CUT-KITfood service18.7%17.8%hgbt
CUT-KIThealthcare34.7%34.6%hgbt
GLV-NIT-Lfood service23.6%20.2%hgbt
GLV-NIT-Lhealthcare36.6%26.7%hgbt
GLV-NIT-Mfood service22.8%18.6%hgbt
GLV-NIT-Mhealthcare32.8%28.1%hgbt
GLV-POL-Lfood service21.7%14.2%hgbt
GLV-POL-Lhealthcare26.5%18.8%hgbt
GLV-VIN-Mfood service25.6%17.4%hgbt
GLV-VIN-Mhealthcare30.2%27.1%hgbt
MED-GAU-4food service17.1%21.8%seasonal_naive_7
MED-GAU-4healthcare25.2%20.2%hgbt
PRT-2OZfood service26.0%16.1%hgbt
PRT-2OZhealthcare30.4%25.5%hgbt
WRP-FOIL-18food service28.9%16.7%hgbt
WRP-FOIL-18healthcare32.0%27.1%hgbt
WRP-PLAS-12food service22.5%17.4%hgbt
WRP-PLAS-12healthcare37.6%31.6%hgbt