Using Hard Classifiers to Estimate Conditional Class Probabilities.
Ole Martin HalckPublished in: ECML (2002)
Keyphrases
- class probabilities
- class probability estimation
- class probability estimates
- multi class
- naive bayes
- probability estimates
- kernel logistic regression
- class distribution
- decision boundary
- cost sensitive
- bayesian methods
- binary classifiers
- random forests
- conditional probabilities
- density function
- classification trees
- class labels
- probability estimation
- training data
- classification algorithm
- probabilistic model
- decision trees
- data sets
- logistic regression
- misclassification costs
- base classifiers
- linear classifiers
- binary classification
- class imbalance
- random variables
- supervised learning
- semi supervised
- classification accuracy
- feature selection
- learning algorithm