Corpus ID: 6803737

A Logistic Regression Approach to Ad Click Prediction

@inproceedings{Kondakindi2014ALR,
  title={A Logistic Regression Approach to Ad Click Prediction},
  author={Gouthami Kondakindi},
  year={2014}
}
This paper presents an empirical study of using different machine learning techniques to predict whether an ad will be clicked or not. We perform click prediction on a binary scale 1 for click and 0 for no click. We use clicks data from Avazu provided as a part of Kaggle competition as our data set. We perform feature selection to remove features that do not help improve classifier accuracy. We inspect data manually and also use feature selection capability of Vowpal Wabbit for this purpose. We… Expand

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