Initial Version
Machine Learning in R to predict whether a mobile ad will be clicked.
This project uses an ensemble approach, stacking the predictions for logistic regression back into the training dataset and running a decision tree classifier on the new training set. The logloss is used as the evaluation metric.
Kaggle Description at https://www.kaggle.com/c/avazu-ctr-prediction