SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–425 of 890 papers

TitleStatusHype
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning—0
Data-driven advice for interpreting local and global model predictions in bioinformatics problems—0
Error-based Knockoffs Inference for Controlled Feature Selection—0
Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series—0
Forecasting Corn Yield with Machine Learning Ensembles—0
FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring—0
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters—0
FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
A machine learning approach to predict the structural and magnetic properties of Heusler alloy families—0
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainability—0
Data Model Design for Explainable Machine Learning-based Electricity Applications—0
From SHAP Scores to Feature Importance Scores—0
From unbiased MDI Feature Importance to Explainable AI for Trees—0
Ensembling improves stability and power of feature selection for deep learning models—0
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness—0
CaliciBoost: Performance-Driven Evaluation of Molecular Representations for Caco-2 Permeability Prediction—0
Enriching Tabular Data with Contextual LLM Embeddings: A Comprehensive Ablation Study for Ensemble Classifiers—0
Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19—0
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation—0
GL-ICNN: An End-To-End Interpretable Convolutional Neural Network for the Diagnosis and Prediction of Alzheimer's Disease—0
Global Censored Quantile Random Forest—0
Enhancing Phishing Detection through Feature Importance Analysis and Explainable AI: A Comparative Study of CatBoost, XGBoost, and EBM Models—0
Building Matters: Spatial Variability in Machine Learning Based Thermal Comfort Prediction in Winters—0
Enhancing Osteoporosis Detection: An Explainable Multi-Modal Learning Framework with Feature Fusion and Variable Clustering—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