Variability and bias in experimentally measured classifier error rates.
Jim PiperPublished in: Pattern Recognit. Lett. (1992)
Keyphrases
- bias variance decomposition
- measurement error
- variance reduction
- sample selection bias
- bias variance
- error rate
- minimum error
- intra class
- lower error rates
- low variance
- training data
- decision trees
- classifier systems
- false negative
- training samples
- classification algorithm
- classification rate
- neural network
- classification scheme
- svm classifier
- class labels
- feature set
- training set
- feature selection
- classification process
- linear classifiers
- individual classifiers
- recognition rate
- feature extraction