SOTAVerified

Feature Importance

Papers

Showing 251275 of 890 papers

TitleStatusHype
Feature Importance Measurement based on Decision Tree SamplingCode0
Bayesian Importance of Features (BIF)Code0
QuXAI: Explainers for Hybrid Quantum Machine Learning ModelsCode0
RANCC: Rationalizing Neural Networks via Concept ClusteringCode0
Can local explanation techniques explain linear additive models?Code0
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal ExplanationCode0
Feature Importance and Explainability in Quantum Machine LearningCode0
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization MachineCode0
Calculating and Visualizing Counterfactual Feature Importance ValuesCode0
An Explainable Pipeline for Machine Learning with Functional DataCode0
A Genre-Aware Attention Model to Improve the Likability Prediction of BooksCode0
AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary MaskingCode0
Explanation by Progressive ExaggerationCode0
Explain to Fix: A Framework to Interpret and Correct DNN Object Detector PredictionsCode0
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input FeaturesCode0
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated TextCode0
Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events ExtractionCode0
Enhancing interpretability of rule-based classifiers through feature graphsCode0
An ensemble meta-estimator to predict source code testabilityCode0
Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural NetworksCode0
Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous CatalysisCode0
BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning AlgorithmsCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
End-to-end Feature Selection Approach for Learning Skinny TreesCode0
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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