SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 890 papers

TitleStatusHype
Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep LearningCode0
ECG Feature Importance Rankings: Cardiologists vs. AlgorithmsCode0
Shapley Chains: Extending Shapley Values to Classifier ChainsCode0
Predicting Adverse Neonatal Outcomes for Preterm Neonates with Multi-Task Learning—0
Predicting Thermoelectric Power Factor of Bismuth Telluride During Laser Powder Bed Fusion Additive Manufacturing—0
LEURN: Learning Explainable Univariate Rules with Neural Networks—0
AmorProt: Amino Acid Molecular Fingerprints Repurposing based Protein FingerprintCode0
EGFR mutation prediction using F18-FDG PET-CT based radiomics features in non-small cell lung cancer—0
Feature Importance: A Closer Look at Shapley Values and LOCO—0
Feature Importance Disparities for Data Bias InvestigationsCode0
Area of interest adaption using feature importance—0
A Notion of Feature Importance by Decorrelation and Detection of Trends by Random Forest Regression—0
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams—0
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic MetricsCode0
Variable Importance Matching for Causal InferenceCode0
A Comparison of Modeling Preprocessing Techniques—0
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning—0
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
Algorithmic Hallucinations of Near-Surface Winds: Statistical Downscaling with Generative Adversarial Networks to Convection-Permitting Scales—0
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality—0
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape—0
Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions—0
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal—0
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification—0
Numeracy from Literacy: Data Science as an Emergent Skill from Large Language Models—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