Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models.
Mahdi Pakdaman NaeiniGregory F. CooperPublished in: ICDM (2016)
Keyphrases
- regression model
- multiple classifiers
- ensemble learning
- classifier ensemble
- training data
- binary classification problems
- ensemble classifier
- binary classifiers
- training set
- model selection
- regression methods
- regression analysis
- prediction model
- feature selection
- learning algorithm
- weak classifiers
- regression method
- generalized linear models
- regression trees
- random forests
- linear model
- multi class
- decision trees
- neural network
- generalized linear
- explanatory variables
- linear regression model
- target variable
- interval valued data
- ensemble methods
- support vector machine
- survival analysis
- random forest
- base classifiers
- cross validation
- rough sets
- classification accuracy
- feature space
- feature extraction
- machine learning
- data mining