SOTAVerified

Feature Importance

Papers

Showing 76100 of 890 papers

TitleStatusHype
Feature Importance Explanations for Temporal Black-Box ModelsCode1
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate PredictionCode1
fseval: A Benchmarking Framework for Feature Selection and Feature Ranking AlgorithmsCode1
Calibrated Explanations for RegressionCode1
Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity NormalizationCode1
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data AugmentationCode1
Calibrated Explanations: with Uncertainty Information and CounterfactualsCode1
Cards Against AI: Predicting Humor in a Fill-in-the-blank Party GameCode1
Reliable Post hoc Explanations: Modeling Uncertainty in ExplainabilityCode1
Grouped Feature Importance and Combined Features Effect PlotCode1
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature ImportanceCode1
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Joint Shapley values: a measure of joint feature importanceCode1
Learning to Faithfully Rationalize by ConstructionCode1
LFI-CAM: Learning Feature Importance for Better Visual ExplanationCode1
Concept Activation Regions: A Generalized Framework For Concept-Based ExplanationsCode1
Measuring Association Between Labels and Free-Text RationalesCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Compressing Features for Learning with Noisy LabelsCode1
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Nonparametric Feature Impact and ImportanceCode1
ControlBurn: Feature Selection by Sparse ForestsCode1
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning ModelsCode1
Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic SegmentationCode1
Understanding Information Processing in Human Brain by Interpreting Machine Learning ModelsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.76Unverified
2Garson Variable ImportancePearson 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