title: Using the predictions of a model to train a new model
body: <p>I am trying to train a model. I only have around 8k labelled data and around 20k unlabelled data. What I was thinking is, is it OK to train and test a model using the 8k labelled data and use that model to predict the classes of the remaining 20k unlabelled data. Then, using all the data creating a new model. I am trying to do binary classification and the model works quite well on the initial labelled population.</p>