SOTAVerified

Feature Importance

Papers

Showing 176200 of 890 papers

TitleStatusHype
Explainable Debugger for Black-box Machine Learning ModelsCode0
Classification of cotton water stress using convolutional neural networks and UAV-based RGB imageryCode0
Computationally Efficient Feature Significance and Importance for Machine Learning ModelsCode0
Explainable AI through a Democratic Lens: DhondtXAI for Proportional Feature Importance Using the D'Hondt MethodCode0
Conditional Feature Importance for Mixed DataCode0
Conditional Feature Importance with Generative Modeling Using Adversarial Random ForestsCode0
Confident Feature RankingCode0
Explaining and visualizing black-box models through counterfactual pathsCode0
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based MethodsCode0
A copula-based visualization technique for 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
Explainability of Machine Learning Models under Missing DataCode0
Feature importance to explain multimodal prediction models. A clinical use caseCode0
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language ModelsCode0
Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous CatalysisCode0
Explainable Post hoc Portfolio Management Financial Policy of a Deep Reinforcement Learning agentCode0
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example GenerationCode0
ChatGPT-HealthPrompt. Harnessing the Power of XAI in Prompt-Based Healthcare Decision Support using ChatGPTCode0
A novel post-hoc explanation comparison metric and applicationsCode0
GLANCE: Global to Local Architecture-Neutral Concept-based ExplanationsCode0
A tree-based varying coefficient modelCode0
CXPlain: Causal Explanations for Model Interpretation under UncertaintyCode0
Evaluating Model Explanations without Ground TruthCode0
Evaluating Explainable Methods for Predictive Process Analytics: A Functionally-Grounded ApproachCode0
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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