SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–575 of 890 papers

TitleStatusHype
Exploring Patterns Behind Sports—0
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning—0
Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation—0
FACT: High-Dimensional Random Forests Inference—0
FairCanary: Rapid Continuous Explainable Fairness—0
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates—0
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation—0
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting—0
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data—0
FAST: Feature Arrangement for Semantic Transmission—0
Fault Detection for agents on power grid topology optimization: A Comprehensive analysis—0
FeatNavigator: Automatic Feature Augmentation on Tabular Data—0
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification—0
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning—0
Feature-Guided Neighbor Selection for Non-Expert Evaluation of Model Predictions—0
Feature Importance: A Closer Look at Shapley Values and LOCO—0
Learning to Detect Critical Nodes in Sparse Graphs via Feature Importance Awareness—0
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models—0
Feature Importance Estimation with Self-Attention Networks—0
Feature Importance for Time Series Data: Improving KernelSHAP—0
Feature Importance Guided Attack: A Model Agnostic Adversarial Attack—0
Feature Importance in a Deep Learning Climate Emulator—0
Feature Importance in Gradient Boosting Trees with Cross-Validation Feature Selection—0
Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review—0
Feature Importance of Climate Vulnerability Indicators with Gradient Boosting across Five Global Cities—0
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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