A bias-variance analysis of state-of-the-art random forest text classifiers.
Thiago SallesLeonardo RochaMarcos André GonçalvesPublished in: Adv. Data Anal. Classif. (2021)
Keyphrases
- random forest
- text classifiers
- bias variance analysis
- ensemble methods
- decision trees
- naive bayes
- text classification
- text categorization
- random forests
- prediction accuracy
- machine learning methods
- machine learning
- document classification
- benchmark datasets
- base classifiers
- multi label
- bias variance
- text data
- feature set
- feature selection
- trade off
- knn
- text mining
- classification algorithm
- text documents
- neural network
- training data
- support vector machine
- semantic features
- learning algorithm
- image classification
- svm classifier
- low dimensional
- dimensionality reduction