Tabular Learning on Corrupted Extra Features Suite (AL, CH, CO, EY, GE, HE, HI, HO, JA, MI, OT, YE) (test)

0.963Score (AL)Deep Lasso + FT

Evaluation results

Method
Deep Lasso + FT2023.11	0.963	-0.422	0.97	0.726	0.608	0.388	0.822	-0.558	0.738	-0.897	0.819	-0.789	1.58
Deep Lasso2023.11	0.962	-0.419	0.969	0.703	0.504	0.392	0.817	-0.56	0.733	-0.9	0.817	-0.788	1.17
No FS + FT2023.11	0.962	-0.425	0.968	0.733	0.558	0.391	0.819	-0.552	0.732	-0.901	0.818	-0.79	2.25
Deep Lasso + FT2023.11	0.961	-0.422	0.968	0.725	0.577	0.393	0.821	-0.561	0.736	-0.898	0.809	-0.788	1.25
Deep Lasso + MLP2023.11	0.961	-0.441	0.969	0.648	0.6	0.384	0.815	-0.572	0.733	-0.89	0.805	-0.776	1.83
No FS + FT2023.11	0.96	-0.43	0.967	0.686	0.576	0.386	0.818	-0.574	0.731	-0.901	0.809	-0.793	2.17
No FS + MLP2023.11	0.96	-0.443	0.969	0.631	0.605	0.383	0.811	-0.549	0.719	-0.891	0.8	-0.786	2.42
Deep Lasso + MLP2023.11	0.959	-0.441	0.968	0.554	0.517	0.386	0.813	-0.563	0.718	-0.898	0.804	-0.778	1.42
Deep Lasso2023.11	0.959	-0.443	0.968	0.573	0.485	0.383	0.814	-0.549	0.72	-0.894	0.802	-0.776	1.42
No FS2023.11	0.959	-0.432	0.966	0.673	0.5	0.384	0.817	-0.577	0.73	-0.902	0.813	-0.792	2.08
Deep Lasso + MLP2023.11	0.959	-0.448	0.969	0.647	0.582	0.378	0.821	-0.568	0.74	-0.89	0.805	-0.78	1.67
Deep Lasso2023.11	0.957	-0.446	0.969	0.569	0.479	0.387	0.814	-0.559	0.721	-0.893	0.8	-0.774	1.25
Deep Lasso + MLP2023.11	0.955	-0.447	0.968	0.577	0.525	0.388	0.815	-0.567	0.721	-0.895	0.801	-0.776	1.58
No FS + MLP2023.11	0.952	-0.451	0.969	0.63	0.598	0.388	0.808	-0.542	0.717	-0.9	0.792	-0.792	2.25
No FS + MLP2023.11	0.946	-0.475	0.965	0.557	0.525	0.37	0.802	-0.607	0.703	-0.909	0.778	-0.797	2.67
No FS2023.11	0.941	-0.48	0.961	0.538	0.466	0.366	0.798	-0.622	0.703	-0.911	0.773	-0.801	2.58
No FS2023.11	0.925	-0.527	0.955	0.502	0.417	0.348	0.778	-0.674	0.671	-0.917	0.749	-0.812	2.67
XGBoost Baseline2023.11	0.923	-0.429	0.969	0.709	0.683	0.374	0.729	-0.541	0.726	-0.846	0.825	-0.781	1.58
XGBoost Baseline2023.11	0.923	-0.429	0.969	0.709	0.683	0.374	0.729	-0.541	0.726	-0.846	0.825	-0.781	2
No FS + MLP2023.11	0.921	-0.516	0.956	0.518	0.503	0.356	0.788	-0.632	0.686	-0.913	0.762	-0.808	2.67
XGBoost Baseline2023.11	0.917	-0.414	0.968	0.74	0.691	0.376	0.731	-0.542	0.725	-0.849	0.825	-0.789	1.67
XGBoost Baseline2023.11	0.858	-0.416	0.951	0.665	0.613	0.36	0.728	-0.562	0.725	-0.885	0.801	-0.797	1.83
XGBoost Baseline2023.11	0.858	-0.416	0.951	0.665	0.613	0.36	0.728	-0.562	0.725	-0.885	0.801	-0.797	2.25
XGBoost Baseline2023.11	0.854	-0.415	0.946	0.666	0.618	0.359	0.726	-0.559	0.723	-0.891	0.796	-0.797	1.83
XGBoost Baseline2023.11	0.854	-0.415	0.946	0.666	0.618	0.359	0.726	-0.559	0.723	-0.891	0.796	-0.797	2.25
XGBoost Baseline2023.11	0.839	-0.42	0.941	0.626	0.583	0.349	0.726	-0.57	0.718	-0.894	0.796	-0.802	1.92
XGBoost Baseline2023.11	0.83	-0.425	0.929	0.625	0.58	0.353	0.721	-0.573	0.719	-0.894	0.795	-0.801	1.92