Achievement

performance improvement under different tasks

data_type	compare with AutoGluon	compare with H2O
binary classification	+20.44%	+2.98%
regression	+37.54%	+39.66%
time-series	+28.40%	+32.46%

results comparison

data_type	single-or-multi	data_name	metric	AutoX	AutoGluon	H2o
binary classification	single-table	Springleaf	auc	0.78865	0.61141	0.78186
binary classification	single-table	stumbleupon	auc	0.87177	0.81025	0.79039
binary classification	single-table	santander	auc	0.89196	0.64643	0.88775
binary classification	multi-table	IEEE	accuracy	0.920809	0.724925	0.907818
regression	single-table	ventilator	mae	0.755	8.434	4.221
regression	single-table	Allstate Claims Severity	mae	1137.07885	1173.35917	1163.12014
regression	single-table	zhidemai	mse	1.0034	1.9466	1.1927
regression	single-table	Tabular Playground Series - Aug 2021	rmse	7.87731	10.3944	7.8895
regression	single-table	House Prices	rmse	0.13043	0.13104	0.13161
regression	single-table	Restaurant Revenue	rmse	2133204.32146	31913829.59876	28958013.69639
regression	multi-table	Elo Merchant Category Recommendation	rmse	3.72228	3.80801	22.88899
regression-ts	single-table	Demand Forecasting	smape	13.79241	25.39182	18.89678
regression-ts	multi-table	Walmart Recruiting	wmae	4660.99174	5024.16179	5128.31622
regression-ts	multi-table	Rossmann Store Sales	RMSPE	0.13850	0.20453	0.35757

competition

1. First place solution for Alibaba Cloud Infrastructure Supply Chain Competition

Enterprise support

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2. 慕尚