SOTAVerified

Feature Importance

Papers

Showing 226250 of 890 papers

TitleStatusHype
A Guide to Feature Importance Methods for Scientific InferenceCode0
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agentCode0
Meaningful Data Sampling for a Faithful Local Explanation MethodCode0
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting MachineCode0
Towards Automatic Concept-based ExplanationsCode0
A Detailed Study of Interpretability of Deep Neural Network based Top TaggersCode0
Adversarial Mixture Of Experts with Category Hierarchy Soft ConstraintCode0
A novel evaluation methodology for supervised Feature Ranking algorithmsCode0
Model-agnostic variable importance for predictive uncertainty: an entropy-based approachCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
Distributed and parallel time series feature extraction for industrial big data applicationsCode0
Catalog of quasars from the Kilo-Degree Survey Data Release 3Code0
Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural NetworksCode0
Captum: A unified and generic model interpretability library for PyTorchCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
Can local explanation techniques explain linear additive models?Code0
Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt MethodCode0
Neural network interpretability for forecasting of aggregated renewable generationCode0
Dual feature-based and example-based explanation methodsCode0
Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal ForecastingCode0
Explaining and visualizing black-box models through counterfactual pathsCode0
OncoNetExplainer: Explainable Predictions of Cancer Types Based on Gene Expression DataCode0
Explainability of Machine Learning Models under Missing DataCode0
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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