Hellinger distance decision trees for PU learning in imbalanced data sets.

Carlos Ortega Vázquez Seppe vanden Broucke Jochen De Weerdt

Published in: Mach. Learn. (2024)

Keyphrases

imbalanced data sets
decision trees
imbalanced data
class distribution
training data
random forest
distance measure
ensemble methods
class imbalance
naive bayes
machine learning algorithms
euclidean distance
base classifiers
concept learning
learning algorithm
roc curve