SOTAVerified

Feature Importance

Papers

Showing 861870 of 890 papers

TitleStatusHype
Neural network interpretability for forecasting of aggregated renewable generationCode0
Neural Network Pruning by Gradient DescentCode0
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift AlgorithmCode0
The Reader is the Metric: How Textual Features and Reader Profiles Explain Conflicting Evaluations of AI Creative WritingCode0
Classification of cotton water stress using convolutional neural networks and UAV-based RGB imageryCode0
AutoLearn - Automated Feature Generation and SelectionCode0
Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisationCode0
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic InterpretationsCode0
Transforming Feature Space to Interpret Machine Learning ModelsCode0
Inferring feature importance with uncertainties in high-dimensional dataCode0
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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