mfeat

Benchmarks

Task Name	Dataset Name	SOTA Result
Classification	mfeat-pixel	Accuracy98.8	25
Clustering	Mfeat	NMI96.08	16
Unsupervised Feature Selection	Mfeat	NMI86.62	14
Clustering	Mfeat	Accuracy93.11	14
Classification	mfeat (test)	Median UAR96	12
Clustering	MFeat Karhunen	ARI92	10
Classification	mfeat factors	AUROC99.9	8
Classification	mfeat	Balanced Accuracy0.98	8
Clustering	MFeat factors	ARI0.83	7
Classification	mfeat factors	Balanced Accuracy95.8	6
Classification	mfeat-factors 177 (test)	Performance Score96.3	6
Clustering	mfeat pixel	ARI5.89	6
Clustering	mfeat-factors	ARI20.02	6
Dimensionality Reduction	Mfeat	Runtime (s)0.128	5
kNN Classification	Mfeat	Accuracy97.8	5
Counterfactual Explanation Generation	mfeat zernike	Validity1	4
Outlier Explanation	mfeat zernike	Avg Run Time (s)0.016	4
Dimensionality Reduction	mfeat factors	kNN Accuracy91.5	3
Clustering	mfeat karhunen	ARI0.2064	3
Clustering	mfeat zernike	ARI0.2679	3
SHAP value approximation	mfeat-morph (test)	R^20.964	2
Multiclass Classification	mfeat factors	Accuracy97.8	2
Multiclass Classification	mfeat morphological	Accuracy74.7	2
Multiclass Classification	mfeat karhunen	Accuracy97.2	2
Multiclass Classification	mfeat zernike	Accuracy81.8	2

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