Calibrating Probability with Undersampling for Unbalanced Classification.

Andrea Dal Pozzolo Olivier Caelen Reid A. Johnson Gianluca Bontempi

Published in: SSCI (2015)

Keyphrases

pattern recognition
support vector
feature space
decision trees
classification method
classification scheme
classification models
text classification
image classification
supervised learning
classification accuracy
feature vectors
feature selection
prior probabilities
classification algorithm
unbalanced data
class imbalance
classification systems
classification process
decision boundary
automatic classification
cost sensitive
class labels
machine learning algorithms
rough sets
probability distribution
image sequences