Semi-Supervised classification
Hi all,
I would like to build a classifier which learns from only a set of positive examples and a set of unlabeled examples.
This classifier, when predicting on new instances, should also output a probability value for positive and negative class (as, for example, Logistic Regression).
Any suggestion about it? Is there a semi-supervised classifier in RapidMiner?
Thank you
I would like to build a classifier which learns from only a set of positive examples and a set of unlabeled examples.
This classifier, when predicting on new instances, should also output a probability value for positive and negative class (as, for example, Logistic Regression).
Any suggestion about it? Is there a semi-supervised classifier in RapidMiner?
Thank you