Hello, I am interested in using predictionio's classification engine. Would the classification be able to accurately classify if it had data consisting of multiple independent sets of data. For instance, if a training data set accepted the id corresponding to a movie director, the amount of money spent filming the movie, and the views the movie received, could one classification engine be able to predict the amount of views a movie would be likely to receive if the training data had included data of different directors? My concern is that not having a separate classification engine instance for each director will cause the single classification engine to mistakenly use data from other directors.
Thanks.
