Random Forests with Missing Data

The codes to construct random forests with missing data are found in https://github.com/IrvingGomez/Random_forests_with_missing_values. There, it is possible to find examples on its use, in particular the example Example_Anderson iris.ipynb shows most of the features.

Here are two images as an example, representing a decision tree with missing values.