SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 890 papers

TitleStatusHype
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression—0
Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing—0
Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation—0
Explainable AI for Fair Sepsis Mortality Predictive Model—0
Causal Explainability of Machine Learning in Heart Failure Prediction from Electronic Health Records—0
A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI—0
Explainable AI without Interpretable Model—0
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
Shapley values for cluster importance: How clusters of the training data affect a prediction—0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital—0
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm—0
Channel Pruning Guided by Classification Loss and Feature Importance—0
Explainable Deep Learning for Augmentation of sRNA Expression Profiles—0
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation—0
CAGE: Causality-Aware Shapley Value for Global Explanations—0
Explainable Image Classification with Evidence Counterfactual—0
Explainable machine learning-based prediction model for diabetic nephropathy—0
Explainable Machine Learning in Deployment—0
Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients—0
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models—0
Class-Discriminative Attention Maps for Vision Transformers—0
Explainable Reinforcement Learning for Formula One Race Strategy—0
Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy—0
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis—0
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Benchmark Results

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