SOTAVerified

Feature Importance

Papers

Showing 251275 of 890 papers

TitleStatusHype
Fiper: a Visual-based Explanation Combining Rules and Feature Importance0
SIDEs: Separating Idealization from Deceptive Explanations in xAI0
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception0
Capturing Momentum: Tennis Match Analysis Using Machine Learning and Time Series Theory0
Explainable AI for Fair Sepsis Mortality Predictive Model0
A Guide to Feature Importance Methods for Scientific InferenceCode0
Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data0
Explainable Machine Learning System for Predicting Chronic Kidney Disease in High-Risk Cardiovascular Patients0
CAGE: Causality-Aware Shapley Value for Global Explanations0
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models0
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision dataCode0
Machine learning-based identification of Gaia astrometric exoplanet orbitsCode0
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications0
Allowing humans to interactively guide machines where to look does not always improve human-AI team's classification accuracyCode0
Automated discovery of symbolic laws governing skill acquisition from naturally occurring dataCode0
Accurate estimation of feature importance faithfulness for tree models0
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting0
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences0
Analyzing Domestic Violence through Exploratory Data Analysis and Explainable Ensemble Learning Insights0
Interpretable Machine Learning for Survival AnalysisCode0
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation ModelsCode1
Semi-Supervised Graph Representation Learning with Human-centric Explanation for Predicting Fatty Liver Disease0
Embracing Uncertainty Flexibility: Harnessing a Supervised Tree Kernel to Empower Ensemble Modelling for 2D Echocardiography-Based Prediction of Right Ventricular Volume0
A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications0
Root Causing Prediction Anomalies Using Explainable AI0
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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