Automated Machine Learning for Imbalanced Data – The Official Blog of BigML.com

Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we'll talk about oversampling and undersampling. We'll discuss a particular example that will help us see how these approaches can be combined with an automated search to create a well-tuned model from our data. The data we're using to illustrate this post was published as one of Kaggle's contests: Give Me Some Credit. You can download the CSV from Kaggle's site or better yet you can quickly import it into BigML cloning it from our gallery. The data describes examples of loans that ended up becoming seriously delinquent (or not) in two years.