SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 826–850 of 890 papers

TitleStatusHype
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
Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting—0
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams—0
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles—0
Inherent Inconsistencies of Feature Importance—0
Inside the black box: Neural network-based real-time prediction of US recessions—0
Integrating Boosted learning with Differential Evolution (DE) Optimizer: A Prediction of Groundwater Quality Risk Assessment in Odisha—0
Integrating Natural Language Processing and Exercise Monitoring for Early Diagnosis of Metabolic Syndrome: A Deep Learning Approach—0
Integrating Protein Sequence and Expression Level to Analysis Molecular Characterization of Breast Cancer Subtypes—0
Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs—0
Interaction as Explanation: A User Interaction-based Method for Explaining Image Classification Models—0
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop—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