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An instance of supervised learning that identifies the category or categories which a new instance of dataset belongs.
0
votes
1
answer
317
views
How can I train a decision tree constrained to have number of decision nodes = tree depth?
Given a vector x with n components, the classification logic will thus look like:
def classify(x):
if x[0] < t_0:
if x[1] < t_1:
if x[2] < t_2:
if x[3] < t_3:
... …
1
vote
Accepted
How to calculate Accuracy, Precision, Recall and F1 score based on predict_proba matrix?
To compute performance metrics like precision, recall and F1 score you need to compare two things with each other:
the predictions of your model for your evaluation set (in what follows, I'll call …
4
votes
1
answer
489
views
How to best estimate the coefficients of a confusion matrix in case of strong class imbalance?
I have a trained binary classifier (forget about how this was trained and think of it as a magical black box) and I would like to measure its classification performance (e.g. compute a confusion matrix …