Re: [scikit-learn] Understanding sklearn.tree._tree.value object

I'm not sure if that would make sense. If during the training, you tell the model there's only one class for a column then the model only knows that. In your case, if all samples belong to class 1 in the training data, then as far as the model is concerned, all samples belong to class 1. If you wan

Re: [scikit-learn] Understanding sklearn.tree._tree.value object

Hi Adrin, Thanks for the clarification. Is there a right way of letting DecisionTreeClassifier know that the first column can take both 0 or 1, but in the current dataset we are only using 0? For example, we can let MultiLabelBinarizer know that we have three classes by instantiating it like this

Re: [scikit-learn] Understanding sklearn.tree._tree.value object

Hi Pranav, The reason you're getting that output is that your first column has a single value (1), and that becomes your "first" class, hence your first value in the rows you're interpreting. To understand it better, you can try to check this code: >>> from sklearn.preprocessing import MultiLabe