ml-recall

#cost-sensitive

3 questions from Logistic Regression & Softmax, Classification, Neural Network Basics

Timed test

3 questions · 3 min · score and explanations at the end

Take a test

Q 1 / 3Score 0 / 0

Shuffle questions

Question 1: Short answer

mediumAI-checkedLogistic Regression & Softmax

A logistic-regression screening model outputs $p = P(\text{disease} \mid \mathbf{x})$ . Missing a sick patient (a false negative) costs 10 times as much as a false alarm (a false positive), and correct decisions cost nothing. To minimize the expected cost, you flag a patient when $p$ is above which threshold?

Enter: check / next