SOTAVerified

Feature Importance

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 126–150 of 890 papers

TitleStatusHype
Beyond Single-Feature Importance with ICECREAM—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
Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization—0
Data Enrichment Opportunities for Distribution Grid Cable Networks using Variational Autoencoders—0
DDNet: Cartesian-polar Dual-domain Network for the Joint Optic Disc and Cup Segmentation—0
Crop yield probability density forecasting via quantile random forest and Epanechnikov Kernel function—0
A data-driven approach to the forecasting of ground-level ozone concentration—0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features—0
Automated detection of Zika and dengue in Aedes aegypti using neural spiking analysis—0
Accurate and fast anomaly detection in industrial processes and IoT environments—0
CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images—0
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt—0
COVID-19 diagnosis by routine blood tests using machine learning—0
A matching based clustering algorithm for categorical data—0
Active Learning++: Incorporating Annotator's Rationale using Local Model Explanation—0
Crash Severity Risk Modeling Strategies under Data Imbalance—0
Data-driven advice for interpreting local and global model predictions in bioinformatics problems—0
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations—0
A machine learning approach to predict the structural and magnetic properties of Heusler alloy families—0
Local MDI+: Local Feature Importances for Tree-Based Models—0
Attention cannot be an Explanation—0
Regularizing Explanations in Bayesian Convolutional Neural Networks—0
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems—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