IITM MLT Week 11 Questions
Soft-margin SVM and Ensemble Learning
Week 11 question PDF
Practice handling margin violations and combining classifiers. The PDF covers soft-margin SVM constraints alongside AdaBoost, bagging and random forest questions with numerical and graphical examples.
The complete question statements, options, numerical data and any supporting graphs or tables are in the PDF. Numbered comprehension questions can include several subquestions. Answer keys are included for checking your attempt; these are not full worked solutions.
Topics covered in this collection
- Soft-margin SVM and slack variables
- Regularization parameter C and dual conditions
- AdaBoost and observation weights
- Bagging and random forests
How to approach these questions
- Check both the margin constraint and the non-negativity of each slack variable.
- Track which observations are misclassified before calculating an AdaBoost weight update.
- Distinguish averaging or voting across trees from sequentially correcting errors in boosting.
Attempt the questions using the assumptions and notation stated in each problem. For short-answer questions, round only at the final step to the requested precision. Check the provided key after solving and revisit the relevant concept when an answer differs.