A Literature Survey and Empirical Study of Meta-Learning for Classifier Selection.
Irfan KhanXianchao ZhangMobashar RehmanRahman AliPublished in: IEEE Access (2020)
Keyphrases
- empirical studies
- meta learning
- decision trees
- meta knowledge
- feature selection
- learning tasks
- inductive learning
- model selection
- machine learning algorithms
- machine learning
- learning algorithm
- data mining
- empirical analysis
- feature space
- training data
- support vector machine
- training samples
- base classifiers
- training set
- training examples
- support vector
- metamodel
- data sets
- class labels
- naive bayes
- learning process