Classification Methods Based on Fitting Logistic Regression to Positive and Unlabeled Data.
Konrad FurmanczykKacper PaczutkowskiMarcin DudzinskiDiana Dziewa-DawidczykPublished in: ICCS (1) (2022)
Keyphrases
- logistic regression
- logistic regression models
- predictive power
- linear support vector machines
- decision trees
- classification and regression trees
- support vector
- classification models
- supervised learning
- neural network
- classification trees
- chi square
- linear svm
- bayesian classifiers
- machine learning algorithms
- loss function
- logistic model
- decision tree algorithms
- odds ratio
- class membership probabilities
- fold cross validation
- random forests
- cross validation
- class labels
- regression model
- text mining
- feature extraction