SOTAVerified

Feature Importance

Papers

Showing 326350 of 890 papers

TitleStatusHype
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition0
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions0
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach0
Explaining Deep Learning-based Anomaly Detection in Energy Consumption Data by Focusing on Contextually Relevant Data0
Estimating Sunlight Using GNSS Signal Strength from Smartphone0
Explaining Humour Style Classifications: An XAI Approach to Understanding Computational Humour Analysis0
Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance0
Explaining the Black-box Smoothly- A Counterfactual Approach0
Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance0
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability0
Explaining Time Series by Counterfactuals0
Estimating oil recovery factor using machine learning: Applications of XGBoost classification0
Clustering of Disease Trajectories with Explainable Machine Learning: A Case Study on Postoperative Delirium Phenotypes0
Cognitive Networks and Performance Drive fMRI-Based State Classification Using DNN Models0
Estimate the building height at a 10-meter resolution based on Sentinel data0
An Explainable Artificial Intelligence Approach for Unsupervised Fault Detection and Diagnosis in Rotating Machinery0
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models0
Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital0
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis0
Exploring Feature Importance and Explainability Towards Enhanced ML-Based DoS Detection in AI Systems0
Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections0
Exploring Non-Linear Effects of Built Environment on Travel Using an Integrated Machine Learning and Inferential Modeling Approach: A Three-Wave Repeated Cross-Sectional Study0
Exploring Patterns Behind Sports0
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning0
FeatNavigator: Automatic Feature Augmentation on Tabular Data0
Show:102550
← PrevPage 14 of 36Next →

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