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Results tagged with multilabel-classification
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user 89843
Multilabel classification assigns to each sample a set of target labels. This can be thought as predicting properties of a data-point that are not mutually exclusive, such as topics that are relevant for a document. A text might be about any of religion, politics, finance or education at the same time or none of these.
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How to get feature importance from RandomForest using scikit-multilearn library?
First, to directly answer your question, the easiest way to get Feature Importance using scikit learn is this, where model is the variable holding your classifier.
print(model.feature_importances_)
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