SOTAVerified

Feature Importance

Papers

Showing 826850 of 890 papers

TitleStatusHype
A Multilinear Sampling Algorithm to Estimate Shapley ValuesCode0
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural NetworksCode0
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up datasetCode0
Graph machine learning for flight delay prediction due to holding manouverCode0
Unveiling the Power of Sparse Neural Networks for Feature SelectionCode0
AmorProt: Amino Acid Molecular Fingerprints Repurposing based Protein FingerprintCode0
Ranking Feature-Block Importance in Artificial Multiblock Neural NetworksCode0
Conditional Feature Importance with Generative Modeling Using Adversarial Random ForestsCode0
Approximation of the Proximal Operator of the _ Norm Using a Neural NetworkCode0
Conditional Feature Importance for Mixed DataCode0
Multi-criteria Rank-based Aggregation for Explainable AICode0
Handling Missing Values in Local Post-hoc ExplainabilityCode0
Computationally Efficient Feature Significance and Importance for Machine Learning ModelsCode0
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of FeaturesCode0
Deep Learning and Linear Programming for Automated Ensemble Forecasting and InterpretationCode0
Hierarchical clustering: visualization, feature importance and model selectionCode0
Revealing unforeseen diagnostic image features with deep learning by detecting cardiovascular diseases from apical four-chamber ultrasoundsCode0
Comparing Feature Importance and Rule Extraction for Interpretability on Text DataCode0
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative ModelsCode0
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision dataCode0
Clustering-Based Interpretation of Deep ReLU NetworkCode0
A Genre-Aware Attention Model to Improve the Likability Prediction of BooksCode0
Bayesian hierarchical models can infer interpretable predictions of leaf area index from heterogeneous datasetsCode0
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case StudyCode0
A novel stacking framework based on hybrid of gradient boosting-adaptive boosting-multilayer perceptron for crash injury severity prediction and analysisCode0
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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