Call for User Report

[xuyxu]

As stated in the documentation, the goal of this package is to:

Provide users with an effective and powerful option to traditional tree-based ensemble models such as random forest and gradient boosting decision tree.

In order to prompt the use of deep forest, and make this package progress towards another popular option when you are considering to use tree-based ensemble models, we would like to call for user reports on using deep forest.

We are particularly interested in:

• Promising results of deep forest on machine learning competitions from Kaggle, Tianchi, etc.
• Novel applications of deep forest in research fields such as bioinformatics, computational finance, etc.

In a future release, we will set up another webpage in our documentation, and your contributions would be posted there. Notice that there is no strict limitation on the form of your contribution, it could be your winning solution on the competition, the link to your published articles, and many more.

Please feel free to comment below or send me an e-mail if you are willing to share your achievements with us. Thanks!