SOTAVerified

Feature Importance

Papers

Showing 376–400 of 890 papers

TitleStatusHype
Federated unsupervised random forest for privacy-preserving patient stratification—0
Statistical Significance of Feature Importance RankingsCode0
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru—0
Solving Offline Reinforcement Learning with Decision Tree RegressionCode0
AFS-BM: Enhancing Model Performance through Adaptive Feature Selection with Binary MaskingCode0
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial AttacksCode0
A tree-based varying coefficient modelCode0
VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection—0
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI—0
Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting—0
CGS-Mask: Making Time Series Predictions Intuitive for All—0
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
Personalized Decision Supports based on Theory of Mind Modeling and Explainable Reinforcement Learning—0
Anytime Approximate Formal Feature Attribution—0
A novel feature selection framework for incomplete data—0
Class-Discriminative Attention Maps for Vision Transformers—0
Predicting Postoperative Nausea And Vomiting Using Machine Learning: A Model Development and Validation StudyCode0
Enhancing Explainability in Mobility Data Science through a combination of methods—0
Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis—0
Towards Auditing Large Language Models: Improving Text-based Stereotype Detection—0
Neural Network Pruning by Gradient DescentCode0
A novel post-hoc explanation comparison metric and applicationsCode0
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution DetectionCode0
Iterative missing value imputation based on feature importance—0
Predicting the First Response Latency of Maintainers and Contributors in Pull Requests—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