SOTAVerified

Feature Importance

Papers

Showing 151175 of 890 papers

TitleStatusHype
Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural NetworksCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
Explainability of Machine Learning Models under Missing DataCode0
Enhancing Interpretability and Generalizability in Extended Isolation ForestsCode0
Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt MethodCode0
A Comparative Study on Machine Learning-based Approaches for Improving Traffic Accident Severity PredictionCode0
Evaluating Model Explanations without Ground TruthCode0
Exclusion and Inclusion -- A model agnostic approach to feature importance in DNNsCode0
Explaining and visualizing black-box models through counterfactual pathsCode0
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart ChairCode0
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case StudyCode0
Classification-Specific Parts for Improving Fine-Grained Visual CategorizationCode0
EPIC: Explanation of Pretrained Image Classification Networks via PrototypeCode0
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded ApproachCode0
Classification of cotton water stress using convolutional neural networks and UAV-based RGB imageryCode0
Clustering-Based Interpretation of Deep ReLU NetworkCode0
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous SensorsCode0
Elastic Net based Feature Ranking and SelectionCode0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision dataCode0
Algorithm-Agnostic Explainability for Unsupervised ClusteringCode0
Approximation of the Proximal Operator of the _ Norm Using a Neural NetworkCode0
A novel stacking framework based on hybrid of gradient boosting-adaptive boosting-multilayer perceptron for crash injury severity prediction and analysisCode0
Choose Your Explanation: A Comparison of SHAP and GradCAM in Human Activity RecognitionCode0
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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