SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–675 of 890 papers

TitleStatusHype
Automatic Componentwise Boosting: An Interpretable AutoML System—0
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection—0
Model Explanations via the Axiomatic Causal LensCode0
Optimizing model-agnostic Random Subspace ensemblesCode0
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process—0
Inferring feature importance with uncertainties in high-dimensional dataCode0
Feature Importance in a Deep Learning Climate Emulator—0
Data-driven advice for interpreting local and global model predictions in bioinformatics problems—0
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition—0
Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf—0
Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud DetectionCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images—0
Feature importance recap and stacking models for forex price prediction—0
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack—0
Interpreting Criminal Charge Prediction and Its Algorithmic Bias via Quantum-Inspired Complex Valued Networks—0
Machine learning to tame divergent density functional approximations: a new path to consensus materials design principles—0
Neural network interpretability for forecasting of aggregated renewable generationCode0
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT)Code0
FairCanary: Rapid Continuous Explainable Fairness—0
Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption—0
Evaluating Local Explanations using White-box Models—0
A Methodology for Exploring Deep Convolutional Features in Relation to Hand-Crafted Features with an Application to Music Audio ModelingCode0
Evaluating the Correctness of Explainable AI Algorithms for Classification—0
Algorithm-Agnostic Explainability for Unsupervised ClusteringCode0
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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