truth and you train a classifier or its own prediction so the classifier is making a bunch of predictions and those are being converted to ground truth proxy 100 data for itself and it's going to train again on new things new data sets created from the unlabeled data based on itself and this principle is also referred to as self training and there is a connection to end musician so here is the connection so consider an image X and classes y1 y2 y3 and let's say you're doing a classification problem and let's say