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PWFS: Probability-Weighted Feature Selection

Ayanoglu, Mehmet B; Uysal Ismail. Electronics; Basel Vol. 14, Iss. 11, (2025): 2264. DOI:10.3390/electronics14112264

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PWFS: Probability-Weighted Feature Selection

References (22)

QSAR Biodegradation. UCI Machine Learning Repository, 2013

Spambase. UCI Machine Learning Repository, 1999

Steel Plates Faults. UCI Machine Learning Repository, 2010

Turkish Music Emotion. UCI Machine Learning Repository, 2023

Batch reinforcement learning approach using recursive feature elimination for network intrusion detection

From explanations to feature selection: Assessing SHAP values as feature selection mechanism

Enhanced Fault Classification in Bearings: A Multi-Domain Feature Extraction Approach with LSTM-Attention and LASSO

Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy

Sound Based Degradation Status Recognition for Railway Point Machines Based on Soft-Threshold Wavelet Denoising, WPD, and ReliefF

Influence of one-way ANOVA and Kruskal–Wallis based feature ranking on the performance of ML classifiers for bearing fault diagnosis

A diabetes prediction model based on Boruta feature selection and ensemble learning

Feature selection based on mutual information with correlation coefficient

SHAP Value-Based Feature Importance Analysis for Short-Term Load Forecasting

An evaluation of feature selection methods for environmental data

Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification

Optimal Ensemble Learning Based on Distinctive Feature Selection by Univariate ANOVA-F Statistics for IDS

Sequential Feature Selection and Machine Learning Algorithm-Based Patient’s Death Events Prediction and Diagnosis in Heart Disease

Joint neighborhood entropy-based gene selection method with fisher score for tumor classification

An embedded feature selection method for imbalanced data classification

Estimating Mutual Information for Discrete-Continuous Mixtures