Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection.
Tianyu MuHongzhi WangChunnan WangZheng LiangXinyue ShaoPublished in: Inf. Sci. (2022)
Keyphrases
- classification algorithm
- meta learning
- learning tasks
- inductive learning
- naive bayes
- decision trees
- knn
- model selection
- machine learning algorithms
- training set
- k nearest neighbor
- support vector machine
- learning algorithm
- base classifiers
- feature selection
- class labels
- metamodel
- machine learning
- text classification
- data mining
- nearest neighbor
- database
- real world
- neural network
- training examples
- multi class
- training data