What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features.
Pasha KhosraviYitao LiangYooJung ChoiGuy Van den BroeckPublished in: CoRR (2019)
Keyphrases
- logistic regression
- predictive power
- linear svm
- naive bayes
- decision trees
- linear support vector machines
- logistic regression models
- support vector
- feature set
- fold cross validation
- classification accuracy
- tree augmented naive bayes
- classification models
- bayesian classifiers
- svm classifier
- odds ratio
- credit scoring
- loss function
- feature ranking
- naive bayes classifier
- feature selection
- text classification
- training examples
- breast cancer
- random forests
- chi square
- feature space
- class labels
- bayesian classifier
- classification trees
- variable selection
- feature vectors
- information gain
- random forest
- feature extraction