For more technologies supported by Talend, see Talend components.
The tMatchModel component reads the suspect sample pairs generated by the tMatchPairing component and manually labeled by you.
The tMatchModel component generates several matching models, searches the best combination of the learning parameters automatically and keeps the best matching model which comes out as the result of cross validation.
The use case described here uses the following components:
A tFileInputDelimited component reads the source file, which contains the suspect data pairs generated by tMatchPairing.
A tMatchModel component generates the features from the suspect records, implements the Random Forest algorithm and creates a classification model.