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I am using Factorization Machines ( libfm) and also the Field Aware Factorization Machines (libffm) for a kaggle competition. I am currently using the single models of each respectively for prediction. I came to know that we can use ensemble of models for both FM and FFM. Can someone explain how this is done ?

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    $\begingroup$ Most ensembling methods are independent from the internals of individual models, e.g. something like majority voting, bagging or model stacking can be directly applicable to any model. $\endgroup$ – noe Jan 13 '17 at 13:06
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Most ensembling methods are independent from the internals of individual models, e.g. something like majority voting, bagging or model stacking can be directly applicable to any model.

Note: this was originally a comment to the OP.

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