A hybrid machine learning model based on ensemble methods for devices fault prediction in the wood industry.
Arezoo DaheshReza Tavakkoli-MoghaddamNiaz WassanAmirReza TajallyZahra DaneshiAseman Erfani-JaziPublished in: Expert Syst. Appl. (2024)
Keyphrases
- ensemble methods
- machine learning methods
- machine learning
- decision trees
- random forests
- prediction accuracy
- ensemble learning
- decision tree learning
- base classifiers
- benchmark datasets
- machine learning algorithms
- random forest
- bias variance analysis
- generalization ability
- pattern recognition
- majority voting
- classifier ensemble
- feature selection
- bootstrap sampling
- base learners
- learning algorithm
- drifting concepts
- inductive learning
- reinforcement learning
- active learning
- support vector machine
- learning tasks
- supervised learning
- data sets
- ensemble feature selection
- naive bayes
- multiple models
- meta learning
- feature subset
- information extraction
- text classification
- semi supervised learning