How many classes are involved in standard logistic regression? 1 O since it is regression Infinite since it is regression None of the others k> 3 2 3.


How many classes are involved in standard logistic regression?<br>1<br>O since it is regression<br>Infinite since it is regression<br>None of the others<br>k> 3<br>2<br>3.<br>

Extracted text: How many classes are involved in standard logistic regression? 1 O since it is regression Infinite since it is regression None of the others k> 3 2 3.
Which of the following are Logistic Regression pros relative to using<br>the Perceptron step function, when learning a classifier? (Always<br>check all that apply.)<br>None of the others<br>It outputs the category likelihood<br>It's output is a nonlinear function<br>It's gradient is never zero<br>It does not have any discontinuities<br>You can compute its gradient<br>It performs better learning real-valued target classes<br>

Extracted text: Which of the following are Logistic Regression pros relative to using the Perceptron step function, when learning a classifier? (Always check all that apply.) None of the others It outputs the category likelihood It's output is a nonlinear function It's gradient is never zero It does not have any discontinuities You can compute its gradient It performs better learning real-valued target classes

Jun 11, 2022
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