Feature Selection Based on Logistic Regression for 2-Class Classification of Multidimensional Molecular Data.
Sebastian StudentAlicja PluciennikMichal JakubczakKrzysztof FujarewiczPublished in: AIMSA (2018)
Keyphrases
- logistic regression
- feature selection
- decision trees
- support vector
- feature extraction
- classification accuracy
- data sets
- machine learning
- training data
- logistic regression models
- naive bayes
- classification trees
- credit scoring
- fold cross validation
- feature subset
- class labels
- unsupervised learning
- text classification
- linear support vector machines
- classification and regression trees
- class membership
- predictor variables
- cost sensitive
- loss function
- high dimensional data
- multi class
- data points