HM2000 quick — ensemble weights per horizon (SLSQP, 12 weekly horizons)

Rows = horizons H1..H12, columns = member models, cells = weight. Blank = zero weight. Ensemble_Horizon hidden WAPE 0.6996, oracle 0.6743, Naive 1.1236. Click headers to sort.

HBasic_LGBM_reg90MetaCategorical_LGBMSeasonalNaive_7Custom_CatBoost_MAEstat__simpleexponentialsmoothing_alpha_0p4stat__holtwintersSeasonalNaive_14baseline__seasonal_maWindowAverage_8SeasonalNaive_28stat__simpleexponentialsmoothing_alpha_0p1
H11.00
H20.970.03
H31.00
H41.00
H51.00
H60.360.240.360.020.010.010.00
H70.550.220.010.120.090.01
H80.300.550.090.040.03
H90.330.160.120.340.06
H101.00
H111.00
H121.00

All 76 models — click any header to sort

VALID = holdout_1 (Apr-Jun 2020, used for selection). HIDDEN = future_holdout_2 (Jun-Sep 2020, never seen). shift = relative change 1→2. Oracle = best hidden per column. Ensemble row is green.

#model familyVALID HIDDENshift pbiasin ens vs oracle
1Custom_CatBoost_MAEcatboost0.71070.6743-5.1%-16.1%yes+0.0%
2MLForecast_Dispersion_LGBMlightgbm0.70700.6752-4.5%-14.6%no+0.1%
3MetaCategorical_LGBMlightgbm0.70840.6777-4.3%-14.4%yes+0.5%
4Basic_LGBM_reg90lightgbm0.70880.6789-4.2%-14.4%yes+0.7%
5Ensemble_Horizonensemble0.69830.6996+0.2%-8.0%no+3.8%
6WindowAverage_8baseline0.83930.8314-0.9%+28.4%yes+23.3%
7stat__simpleexponentialsmoothingstat0.85670.8529-0.4%+33.3%no+26.5%
8baseline__moving_averagebaseline0.96490.8571-11.2%+24.5%no+27.1%
9stat__windowaveragestat0.96490.8571-11.2%+24.5%no+27.1%
10WindowAverage_13baseline0.96490.8571-11.2%+24.5%no+27.1%
11stat__tsbstat0.86230.8577-0.5%+34.2%no+27.2%
12stat__simpleexponentialsmoothing_alpha_0p1stat1.05980.8623-18.6%+35.1%yes+27.9%
13MLF_LGBM_Tweedie_1p9lightgbm0.73710.8903+20.8%+29.1%no+32.0%
14stat__adidastat0.79200.8970+13.2%+39.1%no+33.0%
15stat__tsb_alpha_0p1stat1.08710.8971-17.5%+39.1%no+33.0%
16stat__imapastat0.79060.8980+13.6%+39.1%no+33.2%
17stat__tsb_alpha_0p3stat0.79130.9039+14.2%+39.3%no+34.1%
18stat__simpleexponentialsmoothing_alpha_0p3stat0.78950.9043+14.5%+39.2%no+34.1%
19MLF_LGBM_Tweedie_1p5lightgbm0.77140.9046+17.3%+32.4%no+34.2%
20Basic_LGBM_prior120lightgbm0.78430.9106+16.1%+32.8%no+35.0%
21MLF_LGBM_Tweedie_1p1lightgbm0.78010.9127+17.0%+32.8%no+35.4%
22SeasonalNaive_7baseline0.92780.9262-0.2%+29.0%yes+37.4%
23MLF_LGBMlightgbm0.78370.9312+18.8%+36.0%no+38.1%
24stat__crostonoptimizedstat0.85890.9365+9.0%+41.2%no+38.9%
25stat__tsb_alpha_0p4stat0.76840.9525+24.0%+44.5%no+41.3%
26stat__simpleexponentialsmoothing_alpha_0p4stat0.76750.9534+24.2%+44.6%yes+41.4%
27stat__tsb_alpha_0p5stat0.76600.9967+30.1%+48.8%no+47.8%
28stat__simpleexponentialsmoothing_alpha_0p5stat0.76550.9975+30.3%+48.9%no+47.9%
29MLForecast_Dispersion_LGBM__SeasonalIndexBlend_25lightgbm1.01121.0014-1.0%+33.1%no+48.5%
30MLForecast_Dispersion_LGBM__SeasonalBlend_25lightgbm1.01121.0014-1.0%+33.1%no+48.5%
31Basic_LGBM_reg90__SeasonalIndexBlend_25lightgbm1.00961.0024-0.7%+33.2%no+48.7%
32Basic_LGBM_reg90__SeasonalBlend_25lightgbm1.00961.0024-0.7%+33.2%no+48.7%
33MetaCategorical_LGBM__SeasonalBlend_25lightgbm1.01141.0033-0.8%+33.2%no+48.8%
34stat__thetastat0.79211.0308+30.1%+50.7%no+52.9%
35baseline__seasonal_mabaseline1.20181.0318-14.1%+36.4%yes+53.0%
36stat__tsb_alpha_0p6stat0.77321.0353+33.9%+52.2%no+53.5%
37stat__simpleexponentialsmoothing_alpha_0p6stat0.77291.0361+34.0%+52.2%no+53.7%
38SeasonalNaive_14baseline1.12141.0369-7.5%+16.0%yes+53.8%
39stat__dynamicthetastat0.79281.0415+31.4%+51.2%no+54.5%
40stat__autothetastat0.79311.0465+32.0%+50.8%no+55.2%
41stat__optimizedthetastat0.79431.0467+31.8%+50.8%no+55.2%
42stat__dynamicoptimizedthetastat0.78151.0583+35.4%+56.3%no+57.0%
43stat__simpleexponentialsmoothingoptimizedstat0.78491.0638+35.5%+56.7%no+57.8%
44stat__tsb_alpha_0p7stat0.78471.0682+36.1%+54.8%no+58.4%
45stat__simpleexponentialsmoothing_alpha_0p7stat0.78461.0690+36.3%+54.8%no+58.5%
46stat__tsb_alpha_0p8stat0.79861.0945+37.0%+56.5%no+62.3%
47stat__simpleexponentialsmoothing_alpha_0p8stat0.79861.0951+37.1%+56.6%no+62.4%
48stat__crostonsbastat1.25611.1039-12.1%+56.1%no+63.7%
49stat__tsb_alpha_0p9stat0.81351.1130+36.8%+57.4%no+65.1%
50stat__simpleexponentialsmoothing_alpha_0p9stat0.81351.1133+36.9%+57.4%no+65.1%
51baseline__naivebaseline0.82851.1236+35.6%+57.2%no+66.6%
52stat__naivestat0.82851.1236+35.6%+57.2%no+66.6%
53Naivebaseline0.82851.1236+35.6%+57.2%no+66.6%
54stat__holtstat0.80691.1506+42.6%+62.8%no+70.6%
55stat__crostonclassicstat1.29961.1507-11.5%+64.3%no+70.7%
56stat__autoetsstat0.90761.1695+28.9%+70.1%no+73.4%
57stat__randomwalkwithdriftstat0.85601.1765+37.4%+55.6%no+74.5%
58Basic_LGBM_prior120__SeasonalIndexBlend_25lightgbm1.12321.1941+6.3%+68.6%no+77.1%
59Basic_LGBM_prior120__SeasonalBlend_25lightgbm1.12321.1941+6.3%+68.6%no+77.1%
60MLF_LGBM__SeasonalBlend_25lightgbm1.12261.2092+7.7%+71.0%no+79.3%
61MLF_LGBM__SeasonalIndexBlend_25lightgbm1.12261.2092+7.7%+71.0%no+79.3%
62stat__mstlstat1.26681.3290+4.9%+67.5%no+97.1%
63SeasonalNaive_28baseline1.78681.3989-21.7%+62.6%yes+107.5%
64MetaCategorical_LGBM__SeasonalBlend_50lightgbm1.48001.4011-5.3%+80.8%no+107.8%
65stat__holtwintersstat1.53921.5046-2.2%+83.1%yes+123.1%
66MLF_LGBM__SeasonalBlend_50lightgbm1.56241.5329-1.9%+106.0%no+127.3%
67baseline__seasonal_blendbaseline1.87031.6466-12.0%+106.2%no+144.2%
68baseline__seasonal_naivebaseline2.58922.3213-10.3%+176.0%no+244.3%
69SameWeekLastYear_52baseline2.58922.3213-10.3%+176.0%no+244.3%
70stat__seasonalnaivestat2.58922.3213-10.3%+176.0%no+244.3%
71stat__seasonalexponentialsmoothingstat2.58922.3213-10.3%+176.0%no+244.3%
72stat__seasonalexponentialsmoothingoptimizedstat2.58922.3213-10.3%+176.0%no+244.3%
73SeasonalNaive_52baseline2.58922.3213-10.3%+176.0%no+244.3%
74SeasonalWindowAverage_52_3baseline2.58922.3213-10.3%+176.0%no+244.3%
75HistoricAveragebaseline2.42702.6113+7.6%+209.8%no+287.3%
76stat__historicaveragestat2.42702.6113+7.6%+209.8%no+287.3%