Applying Permutation Tests for Assessing the Statistical Significance of Wrapper Based Feature Selection.
Antti AirolaTapio PahikkalaJorma BobergTapio SalakoskiPublished in: ICMLA (2010)
Keyphrases
- statistical significance
- permutation tests
- feature selection
- statistically significant
- statistical tests
- pairwise
- null hypothesis
- cross validation
- support vector machine
- statistical inference
- feature space
- classification accuracy
- high dimensionality
- white matter
- roc curve
- feature ranking
- information gain
- training data
- machine learning