semi-supervised in rapid miner

SiavashSiavash Member Posts: 1 Contributor I
edited November 2018 in Help

My thesis subject is customer behavior modeling by semi-supervised learning in customer relationship management.

My dataset contained 1000 records of customers and training data was divided into labeled and unlabeled records of 300 and 700 respectively.

I want train a classifier h with training data labeled(300 records)

then classify data(Clustering) in Unlabeled( 700 records) with h

so, find subset U' of Unlabeled data with most confidence scores.

Can I performed above process with Rapid Miner?

Please tell me how can I performed that? :D

Thank you
Siavash Emtiyaz
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