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Neural Network Weights - How do they know their position?

Neural networks are not composed of "neurons" or "decision trees". Neural networks are a bunch of matrix operations, e.g. matrix multiplications. Some of these operations have ...
noe's user avatar
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Multiclass Classification with Decision Trees: Why do we calculate a score and apply softmax?

To be clear, I think the softmax approach you mention is the generic one-vs-rest approach, in which a binary classifier is trained for each class, and their predicted probabilities are softmax'ed. The ...
Ben Reiniger's user avatar
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Decision Tree : why do unused features impact predictions?

I don't understand Memristor's answer since the removed feature was not even included in the splits of the DecisionTree, so it's interaction with other features shouldn't change anything. Also, the ...
AvanishM's user avatar
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How exactly do decision trees split the input region?

Long story short: The border will be between the right-most "left" point and the left-most "right" point. That's because the algorithm will sort your data points by one feature (in ...
Valentin Calomme's user avatar
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How does a Decision Tree split when two features are tied?

From the docstring for the random_state parameter: The features are always randomly permuted at each split, even if splitter is ...
Ben Reiniger's user avatar
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