Impact of benign sample size on binary classification accuracy.
Mamoru MimuraPublished in: Expert Syst. Appl. (2023)
Keyphrases
- sample size
- classification accuracy
- model selection
- small sample size
- random sampling
- small sample
- covariance matrix
- upper bound
- experimental design
- pac learning
- statistical hypothesis testing
- worst case
- number of training samples
- breast cancer
- small samples
- random samples
- feature selection
- vc dimension
- progressive sampling
- confidence intervals
- statistical tests
- naive bayes
- random sample
- support vector
- statistical power
- training data
- sample complexity
- generalization error
- variance reduction
- training set
- data streams
- data sets