Performance Metrics — past-year questions
Machine Learning (CSC701) · Semester 7 · Module 2 · Comps
7 past-year questions on Performance Metrics have appeared in Mumbai University CSC701 papers between 2024–2026, 7 times in total. Every question is shown in full below with its marks and repeat count. Model answers require a free account.
Questions asked on Performance Metrics
- 1.
Explain Confusion Matrix. Calculate Accuracy, Precision, Recall, and F1-score for the following: | | Predicted + | Predicted - | |---|---|---| | Actual + | 40 | 8 | | Actual - | 12 | 30 |
10M1× seenlast asked 2026 - 2.
List and explain any four performance metrics used in Regression problems.
5M1× seenlast asked 2026 - 3.
Explain following performance metrics along with an example: Accuracy, Precision, Recall and F1 score.
5M1× seenlast asked 2025 - 4.
Performance Metrics for Classification.
10M1× seenlast asked 2025 - 5.
Suppose that you were analysing data related to a group of 50 people applying for a grant. Each grant proposal was read by two readers and each reader either said "Yes" or "No" to the proposal. Calculate Precision, Recall, Accuracy. | | Reader B (Predicted) Yes | Reader B (Predicted) No | |---|---|---| | Reader A (Actual) Yes | 20 | 5 | | Reader A (Actual) No | 10 | 15 |
5M1× seenlast asked 2025 - 6.
Explain performance evaluation metrics for the classification.
5M1× seenlast asked 2024 - 7.
Explain performance evaluation metrics for binary classification with suitable example.
5M1× seenlast asked 2024
Want the answers to these questions?
The questions above are free to read. Create a free account to get AI model answers for Machine Learning, a curated set of the questions that matter most, flashcard revision, and a study plan built around your exam date.