Logistic Regression MCQ Test
15 Questions
Time: 25 mins
Beginner-Intermediate
Logistic Regression MCQ Test
Check how well you understand logistic regression for binary and multi-class classification, from sigmoid intuition to decision boundaries.
Easy: 5 Q
Medium: 6 Q
Hard: 4 Q
Logistic Regression for Classification: MCQ Practice
Logistic regression is a strong baseline for binary and multi-class classification. These questions cover the sigmoid function, decision boundaries, odds/odds ratios, and common implementation details in ML libraries.
From Linear Regression to Classification
Logistic regression applies a sigmoid (or softmax) on a linear combination of features to output probabilities instead of raw regression values.
Typical Logistic Regression Workflow
Prepare Features → Fit Logistic Model → Choose Threshold → Evaluate with Classification Metrics