SOTAVerified

Feature Importance

Papers

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Showing 401–425 of 890 papers

TitleStatusHype
Data-Driven Transient Stability Assessment of Power Systems with a Novel GHM-Enhanced CatBoost Algorithm—0
Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations—0
FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring—0
Forecasting Corn Yield with Machine Learning Ensembles—0
Data-driven Prediction of Relevant Scenarios for Robust Combinatorial Optimization—0
Forecasting Automotive Supply Chain Shortfalls with Heterogeneous Time Series—0
FORCE: Feature-Oriented Representation with Clustering and Explanation—0
FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals—0
Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis—0
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning—0
Fiper: a Visual-based Explanation Combining Rules and Feature Importance—0
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods—0
From SHAP Scores to Feature Importance Scores—0
From unbiased MDI Feature Importance to Explainable AI for Trees—0
Data-driven advice for interpreting local and global model predictions in bioinformatics problems—0
Attention cannot be an Explanation—0
A machine learning approach to predict the structural and magnetic properties of Heusler alloy families—0
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning—0
Federated unsupervised random forest for privacy-preserving patient stratification—0
CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images—0
Feature Selection via GANs (GANFS): Enhancing Machine Learning Models for DDoS Mitigation—0
Global Censored Quantile Random Forest—0
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble—0
Cross-cultural Emotion Classification: the Effect of Emotional Intensity and Acoustic Features—0
Feature Selection for Discovering Distributional Treatment Effect Modifiers—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VarImpVIANNPearson Correlation0.76—Unverified
2Garson Variable ImportancePearson 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