SOTAVerified

Feature Importance

Papers

Showing 110 of 890 papers

TitleStatusHype
Attention is not ExplanationCode3
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare RecordsCode2
Inseq: An Interpretability Toolkit for Sequence Generation ModelsCode2
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndCode2
OpenFE: Automated Feature Generation with Expert-level PerformanceCode2
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning ModelsCode2
A Unified Approach to Interpreting Model PredictionsCode1
Benchmarking Deep Learning Interpretability in Time Series PredictionsCode1
A Matlab Toolbox for Feature Importance RankingCode1
Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the CloudCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.76Unverified
2VarImpVIANNPearson Correlation0.76Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.6Unverified
2Garson Variable ImportancePearson Correlation0.22Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.86Unverified
2Garson Variable ImportancePearson Correlation0.64Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.83Unverified
2Garson Variable ImportancePearson Correlation0.6Unverified
#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.9Unverified
2Garson Variable ImportancePearson Correlation0.73Unverified
#ModelMetricClaimedVerifiedStatus
1Garson Variable ImportancePearson Correlation0.74Unverified
2VarImpVIANNPearson Correlation0.41Unverified