Automated Machine Learning for Imbalanced Data
Following our previous posts on how to improve results when using Machine Learning on imbalanced data, in this post, we’ll
Tag: imbalanced datasets
Predicting Air Pollution in Madrid
Air pollution is a tremendous problem in big cities, where health issues and traffic restrictions are continuously increasing. The concentration
Using a Customized Cost Function to deal with Unbalanced Data
As pointed in this Kdnuggets article, it’s often the case that we only have a few examples of the thing
Automatic Weighting of Imbalanced Datasets
Very often datasets are imbalanced. That is, the number of instances for each of the classes in the target variable that
The Official Blog of BigML.com 