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SOTA
Dimensionality Reduction
Dimensionality Reduction On Mca
Dimensionality Reduction On Mca
Metrics
Classification Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Classification Accuracy
Paper Title
UDRN
90.9
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection
tSNE
51.5
Visualizing Data using t-SNE
IVIS
46.6
Parametric UMAP embeddings for representation and semi-supervised learning
UMAP
41.3
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
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