Decision tree. How to decode values ​​in a tree?

Question

Python

After constructing the Decision tree classifier, how to decode the values ​​back?



Example input string


Sample string after processing LabelEncoder


LabelEncoder:

encoder = defaultdict(LabelEncoder)

data.loc[:, categorical_features] = (
    data
    .loc[:, categorical_features]
    .apply(lambda x: encoder[x.name].fit_transform(x), axis=0)
)

Code link - https://colab.research.google.com/drive/1IYQ2sMAg7...