SOTAVerified

Feature Importance

Papers

Showing 551575 of 890 papers

TitleStatusHype
EFI: A Toolbox for Feature Importance Fusion and Interpretation in PythonCode0
A machine learning approach to predict the structural and magnetic properties of Heusler alloy families0
Bias Reducing Multitask Learning on Mental Health Prediction0
Efficient Novelty Detection Methods for Early Warning of Potential Fatal DiseasesCode0
Parameter Averaging for Feature Ranking0
MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity PredictionCode0
Neural Greedy Pursuit for Feature Selection0
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm0
SHAP-XRT: The Shapley Value Meets Conditional Independence TestingCode0
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case StudyCode0
A novel evaluation methodology for supervised Feature Ranking algorithmsCode0
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative ModelsCode0
GLANCE: Global to Local Architecture-Neutral Concept-based ExplanationsCode0
Comparing Feature Importance and Rule Extraction for Interpretability on Text DataCode0
FACT: High-Dimensional Random Forests Inference0
Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters0
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models0
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason ObjectivesCode0
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches0
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation0
Inherent Inconsistencies of Feature Importance0
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability0
Towards Responsible AI for Financial Transactions0
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles0
Feature Selection for Discovering Distributional Treatment Effect Modifiers0
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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