A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. ... # Anaconda3-2020.02 Python 3.7.6 # Windows 10/11 scikit 0.22.1 import ...

For decision tree classification, the variable to predict is most often ordinal-encoded (0, 1, 2 and so on) The numeric predictors do not need to be normalized to all the same range -- typically 0.0 ...

But the reason for Python's latest blue ribbon is worth noting: according to O'Reilly, it was demand among data scientists and artificial intelligence (AI) and machine learning (ML) engineers. Python ...