SOTAVerified

Feature Importance

Papers

Showing 326350 of 890 papers

TitleStatusHype
I Bet You Did Not Mean That: Testing Semantic Importance via BettingCode0
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model0
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for TransformersCode0
From SHAP Scores to Feature Importance Scores0
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis0
Analyze Additive and Interaction Effects via Collaborative Trees0
Mitigating Text Toxicity with Counterfactual Generation0
Feature Importance and Explainability in Quantum Machine LearningCode0
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes0
Estimate the building height at a 10-meter resolution based on Sentinel data0
Feature importance to explain multimodal prediction models. A clinical use caseCode0
DTization: A New Method for Supervised Feature Scaling0
Accurate and fast anomaly detection in industrial processes and IoT environments0
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment0
SIDEs: Separating Idealization from Deceptive Explanations in xAI0
Fiper: a Visual-based Explanation Combining Rules and Feature Importance0
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
A Guide to Feature Importance Methods for Scientific InferenceCode0
Explainable AI for Fair Sepsis Mortality Predictive Model0
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
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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