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Both in Random Forest and Decision Trees, missing values are treated like a separate data value, both for numerical and nominal attributes. You can check it out yourself in the following process:
Hi,
Both in Random Forest and Decision Trees, missing values are treated like a separate data value, both for numerical and nominal attributes. You can check it out yourself in the following process:
Note that for numerical attributes it results in a 3-way split.
With Decision Tree models, inputing missing values doesn't improve the model, unless you have a very precise way to do it.
Regards,
Sebastian