SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–375 of 890 papers

TitleStatusHype
Better Model Selection with a new Definition of Feature Importance—0
DTization: A New Method for Supervised Feature Scaling—0
Benchmarking the Fidelity and Utility of Synthetic Relational Data—0
Analyze Additive and Interaction Effects via Collaborative Trees—0
Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions?—0
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification—0
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability—0
Analysis of Zero Day Attack Detection Using MLP and XAI—0
A Dynamic-Adversarial Mining Approach to the Security of Machine Learning—0
Accurate estimation of feature importance faithfulness for tree models—0
An AI-driven framework for rapid and localized optimizations of urban open spaces—0
Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction—0
Axiomatic Aggregations of Abductive Explanations—0
Discrete Deep Feature Extraction: A Theory and New Architectures—0
Discovering the influence of personal features in psychological processes using Artificial Intelligence techniques: the case of COVID19 lockdown in Spain—0
A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization—0
A Multi-Task Text Classification Pipeline with Natural Language Explanations: A User-Centric Evaluation in Sentiment Analysis and Offensive Language Identification in Greek Tweets—0
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations—0
Differential Private Stack Generalization with an Application to Diabetes Prediction—0
DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences—0
Automatic prediction of mortality in patients with mental illness using electronic health records—0
Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices—0
Automatic Componentwise Boosting: An Interpretable AutoML System—0
Automated Speech Scoring System Under The Lens: Evaluating and interpreting the linguistic cues for language proficiency—0
A Multi-Head Attention Soft Random Forest for Interpretable Patient No-Show Prediction—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