Predicting sample size required for classification performance.
Rosa L. FigueroaQing Zeng-TreitlerSasikiran KandulaLong H. NgoPublished in: BMC Medical Informatics Decis. Mak. (2012)
Keyphrases
- sample size
- small sample size
- model selection
- small sample
- small samples
- random sampling
- statistical tests
- classification accuracy
- upper bound
- covariance matrix
- cross validation
- decision trees
- feature selection
- support vector machine
- worst case
- classification rules
- feature extraction
- statistical hypothesis testing
- progressive sampling
- statistical power
- classification algorithm
- class labels
- support vector machine svm
- training set
- generalization error
- experimental design
- pac learning
- text classification
- variance reduction
- number of training samples
- feature vectors
- machine learning
- data mining