I have built a couple of models on some data using Boosted Trees and hyperparameter setting.
However, when I am trying to use the models for prediction, it doesn't give prediction results for a lot of them, some ranging to 75% of the data. I am guessing this has got something to do with the model; and for some reason it does not predict for some results, which makes me guess it has got something to do with the confidence threshold of the prediction.
Please correct me, if I am wrong somewhere.
Guide me, in any case.
So, after a lot of deliberate attempts, the only thing which worked is imputation. As suggested in the question comments, the issue was with the missing data, and as soon as we handled the missing data case, Azure ML worked and predicted results for all the records.