Is it a good practice to use your full data set for predictions?
<p>I know you're supposed to separate your training data from your testing data, but when you make predictions with your model is it OK to use the entire data set?</p>

<p>I assume separating your training and testing data is valuable for assessing the accuracy and prediction strength of different models, but once you've chosen a model I can't think of any downsides to using the full data set for predictions.</p>