Learning with Regression — past-year questions
Machine Learning (CSC701) · Semester 7 · Module 2 · Comps
10 past-year questions on Learning with Regression have appeared in Mumbai University CSC701 papers between 2023–2026, 15 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 Learning with Regression
- 1.
Explain Regression line, Scatter plot, Error in prediction and Best fitting line.
5M3× seenlast asked 2026 - 2.
Logistics Regression.
10M2× seenlast asked 2026 - 3.
Consider the use case of Email spam detection. Identify and explain the suitable machine learning technique for this task.
10M2× seenlast asked 2025 - 4.
Differentiate between linear regression and logistic regression.
5M2× seenlast asked 2024 - 5.
Differentiate between Regression and Classification with examples.
5M1× seenlast asked 2026 - 6.
Following table shows the midterm and final exam grades obtained for students in a database course. Using linear regression to predict the final exam grade of a student who received 86 in the midterm exam. Midterm exam (X): 72, 50, 81, 74, 94, 86, 59, 83, 86, 33, 88, 81 Final exam (Y): 84, 53, 77, 78, 90, 75, 49, 79, 77, 52, 74, 90
10M1× seenlast asked 2025 - 7.
Explain simple linear regression. Find regression line Y=aX+C using least square method and estimate the expenditure of company in 6th month using line as a model. The expenditure of an organization (in thousand) for every month is shown below, X (Month): 1, 2, 3, 4, 5 Y (Expenditure): 12, 19, 29, 37, 45
10M1× seenlast asked 2025 - 8.
Explain Logistic Regression.
5M1× seenlast asked 2025 - 9.
Consider the example below where the mass, y (grams), of a chemical is related to the time, x (seconds), for which the chemical reaction has been taking place according to the table. Find the equation of the regression line. Also explain performance evaluation measures for regression. Time, x (seconds): 5, 7, 12, 16, 20 Mass, y (grams): 40, 120, 180, 210, 240
10M1× seenlast asked 2024 - 10.
Explain Logistics regression and performance evaluation metrics.
10M1× seenlast asked 2024
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