mfeat

Benchmarks

Task Name	Dataset Name	SOTA Result
Classification	mfeat-pixel	Accuracy98.8	25
Unsupervised Feature Selection	Mfeat	NMI86.62	14
Clustering	Mfeat	Accuracy93.11	14
Clustering	Mfeat	Accuracy (ACC)95.06	13
Classification	mfeat (test)	Median UAR96	12
Classification	mfeat factors	AUROC99.9	8
Classification	mfeat	Balanced Accuracy0.98	8
Clustering	MFeat Karhunen	ARI92	7
Clustering	MFeat factors	ARI0.83	7
Counterfactual Explanation Generation	mfeat zernike	Validity1	4
Outlier Explanation	mfeat zernike	Avg Run Time (s)0.016	4
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
Multiclass Classification	mfeat pixel	Accuracy96.9	2
Multiclass Classification	mfeat fourier	Accuracy84.2	2

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