A cost-sensitive meta-learning classifier: SPFCNN-Miner.
Linchang ZhaoZhaowei ShangAnyong QinTaiping ZhangLing ZhaoYu WeiYuan Yan TangPublished in: Future Gener. Comput. Syst. (2019)
Keyphrases
- meta learning
- cost sensitive
- cost sensitive classification
- cost sensitive learning
- base classifiers
- decision trees
- multi class
- misclassification costs
- naive bayes
- feature selection
- inductive learning
- classification algorithm
- learning tasks
- model selection
- support vector machine
- class distribution
- machine learning algorithms
- active learning
- class imbalance
- machine learning
- linear classifiers
- training data
- error rate
- class labels
- training set
- classification error
- binary classifiers
- data mining
- training examples
- pairwise
- feature space
- learning algorithm
- neural network
- metamodel
- multi label
- data sets
- training samples
- classification accuracy
- information retrieval