Sample size estimation for power and accuracy in the experimental comparison of algorithms.
Felipe CampeloFernanda C. TakahashiPublished in: CoRR (2018)
Keyphrases
- experimental comparison
- sample size
- progressive sampling
- worst case
- statistical power
- model selection
- computational complexity
- upper bound
- covariance matrix
- small samples
- variance reduction
- small sample
- random sampling
- data mining
- statistical tests
- confidence intervals
- vc dimension
- pac learning
- theoretical analysis
- nearest neighbor
- support vector machine
- number of training samples
- np hard
- evolutionary algorithm
- learning algorithm