SOTAVerified

Feature Importance

Papers

Showing 101110 of 890 papers

TitleStatusHype
RISE: Randomized Input Sampling for Explanation of Black-box ModelsCode1
Hierarchical interpretations for neural network predictionsCode1
A Unified Approach to Interpreting Model PredictionsCode1
MUPAX: Multidimensional Problem Agnostic eXplainable AI0
Neural Network-Guided Symbolic Regression for Interpretable Descriptor Discovery in Perovskite Catalysts0
SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning0
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions0
Segment Anything in Pathology Images with Natural Language0
The Role of Explanation Styles and Perceived Accuracy on Decision Making in Predictive Process Monitoring0
Enhancing interpretability of rule-based classifiers through feature graphsCode0
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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