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ml-recall

#decision-boundary

7 questions from Logistic Regression & Softmax, Classification, Nearest Neighbors & Kernel Methods, Support Vector Machines

Timed test

7 questions · 7 min · score and explanations at the end

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Question 1: Single choice

mediumAI-checkedLogistic Regression & Softmax

A logistic-regression model on two features has log-odds z=2x1−x2−4z = 2x_1 - x_2 - 4. With the usual threshold of 0.5, its decision boundary is the line 2x1−x2−4=02x_1 - x_2 - 4 = 0. If you predict the positive class only when p>0.8p > 0.8, what is the new boundary?

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