L1 logistic regression as a feature selection step for training stable classification trees for the prediction of severity criteria in imported malaria.
Luca TalentiMargaux LuckAnastasia YartsevaNicolas ArgySandrine HouzéCécilia DamonPublished in: CoRR (2015)
Keyphrases
- logistic regression
- classification trees
- linear svm
- feature selection
- logistic regression models
- support vector
- naive bayes
- decision trees
- prediction accuracy
- information gain
- training set
- random forests
- classification accuracy
- prognostic models
- intensive care
- machine learning
- prediction model
- loss function
- training examples
- text categorization
- cost sensitive
- learning machines
- feature space
- feature extraction
- support vector machine
- knn
- classification models
- training data
- tree models
- unsupervised learning