ml-recall

#log-odds

7 questions from Logistic Regression & Softmax

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easyAI-checkedLogistic Regression & Softmax

In a binary logistic-regression model, the weight of the feature "number of past purchases" is $w = \ln 2 \approx 0.693$ . Holding the other features fixed, what does one more past purchase do?

It multiplies the odds $p / (1 - p)$ by 21
It multiplies the predicted probability $p$ by 22
It adds 0.693 to the predicted probability $p$ 3
It multiplies the log-odds $z$ by 24

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