Dimensionality Reduction Accuracy Prediction on 96 datasets benchmark leaderboard · SOTA2 Research

Dimensionality Reduction Accuracy Prediction on 96 datasets

0.9471T&C ScorePds+Mnc

Evaluation Results

Method
Pds+Mnc2025.12	0.9471	0.7848	0.4303	0.86	0.6569
Pds+Mnc2025.12	0.9223	0.7823	0.5733	0.8392	0.688
Pds+Mnc2025.12	0.915	0.8446	0.5784	0.9063	0.8836
Pds+Mnc2025.12	0.8955	0.8183	0.3944	0.7978	0.7578
Pds+Mnc2025.12	0.8781	0.8501	0.6986	0.7645	0.7739
Intrinsic Dimension (Geometric)2025.12	0.8588	0.8417	0.172	0.7989	0.716
Pds+Mnc2025.12	0.8514	0.9123	0.7962	0.9454	0.8935
Intrinsic Dimension (Geometric)2025.12	0.8496	0.4476	0.7058	0.7123	0.7539
Intrinsic Dimension (Geometric)2025.12	0.8438	0.7038	0.2275	0.566	0.1383
Intrinsic Dimension (Geometric)2025.12	0.8253	0.7069	0.5629	0.8544	0.8855
Intrinsic Dimension (Projection)2025.12	0.8027	0.843	0.6524	0.7112	0.6445
Intrinsic Dimension (Projection)2025.12	0.7998	0.7924	0.6094	0.7326	0.6557
Intrinsic Dimension (Projection)2025.12	0.7747	0.7846	0.2987	0.6737	0.7473
Intrinsic Dimension (Projection)2025.12	0.7615	0.6643	0.0212	0.5746	0.1674
Intrinsic Dimension (Projection)2025.12	0.7207	0.6906	0.3222	0.7109	0.2838
Intrinsic Dimension (Geometric)2025.12	0.7146	0.6519	0.4204	0.655	0.0405
Intrinsic Dimension (Projection)2025.12	0.654	0.6449	0.2656	0.6389	0.369
Intrinsic Dimension (Geometric)2025.12	0.5097	0.5767	0.0029	0.3303	0.1257