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