SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 890 papers

TitleStatusHype
Gradients of Counterfactuals—0
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis—0
Graph Neural Network for Interpreting Task-fMRI Biomarkers—0
Graph Neural Networks Including Sparse Interpretability—0
Graph Transformer-Based Flood Susceptibility Mapping: Application to the French Riviera and Railway Infrastructure Under Climate Change—0
Greedy Modality Selection via Approximate Submodular Maximization—0
Group Shapley with Robust Significance Testing and Its Application to Bond Recovery Rate Prediction—0
Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research—0
Heterogeneous Visual Features Fusion via Sparse Multimodal Machine—0
Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting—0
High Accuracy Classification of Parkinson's Disease through Shape Analysis and Surface Fitting in ^123I-Ioflupane SPECT Imaging—0
High-Throughput Computational Screening and Interpretable Machine Learning of Metal-organic Frameworks for Iodine Capture—0
Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models—0
How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning—0
How explainable are adversarially-robust CNNs?—0
How to safely discard features based on aggregate SHAP values—0
Hyperparameter Optimization for Forecasting Stock Returns—0
Identifying Semantically Duplicate Questions Using Data Science Approach: A Quora Case Study—0
¶ILCRO: Making Importance Landscapes Flat Again—0
Image Classifiers for Network Intrusions—0
Implementing NLPs in industrial process modeling: Addressing Categorical Variables—0
Improved Bitcoin Price Prediction based on COVID-19 data—0
Improved Feature Importance Computations for Tree Models: Shapley vs. Banzhaf—0
An Attention Matrix for Every Decision: Faithfulness-based Arbitration Among Multiple Attention-Based Interpretations of Transformers in Text Classification—0
Improving clustering quality evaluation in noisy Gaussian mixtures—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