Recommending Training Set Sizes for Classification.
Phillip KoshuteJared ZookIan McCullohPublished in: CoRR (2021)
Keyphrases
- training set
- classification accuracy
- classification algorithm
- cross validation
- training samples
- supervised learning
- pattern recognition
- feature space
- svm classifier
- training data
- automatic classification
- decision boundary
- support vector machine
- support vector
- active learning
- model selection
- class labels
- neural network
- machine learning
- image classification
- decision trees
- data sets
- eeg signals
- classification systems
- pattern classification
- machine learning algorithms
- training examples
- support vector machine svm
- feature vectors
- recommender systems
- classification method
- classification models
- classification error
- error rate
- unsupervised learning