A Random Forest Based Classifier for Error Prediction of Highly Individualized Products.
Gerd GrönerPublished in: ML4CPS (2018)
Keyphrases
- random forest
- ensemble classifier
- feature set
- decision trees
- fold cross validation
- random forests
- ensemble learning
- prediction accuracy
- ensemble methods
- base classifiers
- feature selection
- feature ranking
- training set
- classification accuracy
- feature space
- classifier ensemble
- bayesian classifier
- individual classifiers
- feature importance
- naive bayes
- classification models
- multi label
- class labels
- error rate
- training data
- feature extraction
- machine learning methods
- classification algorithm
- training examples
- higher order
- multi class
- genetic algorithm