A Multi-level procedure for enhancing accuracy of machine learning algorithms.
Kjetil O. LyeSiddhartha MishraRoberto MolinaroPublished in: CoRR (2019)
Keyphrases
- machine learning algorithms
- predictive accuracy
- benchmark data sets
- machine learning
- learning algorithm
- decision trees
- learning problems
- machine learning methods
- high accuracy
- decision tree learners
- random forests
- input features
- prediction accuracy
- machine learning approaches
- learning models
- learning tasks
- machine learning models
- machine learning systems
- error rate
- general purpose
- active learning
- learning process
- training data
- feature selection
- neural network