Constraining Type II Error: Building Intentionally Biased Classifiers.
Ricardo CruzKelwin FernandesJoaquim F. Pinto da CostaJaime S. CardosoPublished in: IWANN (2) (2017)
Keyphrases
- type ii
- type i error
- statistical power
- neyman pearson
- decision trees
- training data
- support vector
- high quality
- multiple classifiers
- classification method
- classification models
- machine learning methods
- statistical significance
- linear classifiers
- supervised classification
- training set
- ensemble methods
- neural network
- classification algorithm
- classifier combination
- svm classifier
- error rate
- naive bayes
- feature selection