Classification and feature selection methods based on fitting logistic regression to PU data.
Konrad FurmanczykKacper PaczutkowskiMarcin DudzinskiDiana Dziewa-DawidczykPublished in: J. Comput. Sci. (2023)
Keyphrases
- logistic regression
- decision trees
- data sets
- support vector
- data analysis
- training data
- breast cancer
- knowledge discovery
- data points
- naive bayes
- data mining techniques
- cost sensitive
- classification trees
- feature extraction
- predictor variables
- survival analysis
- belief nets
- supervised learning
- support vector machine
- classification accuracy
- pairwise
- feature space
- feature selection
- data mining