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I have a trained BDT and with sklearn predict_proba(X), I can get a probability between 0 and 1 for a predicted feature. I am now wondering, how this probability is calculated?

Any ideas?

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y is beta0 + beta1*x1 + beta2*x2 .....+ epsilong

probability = ((e power y)/(1 + e power y))

This is the how it is been calculated.

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