Are you looking for NPTEL Introduction to Machine Learning Assignment Week 7 Answers? If yes, you will find the answers to the questions asked in the NPTEL Introduction to Machine Learning quiz exam here. If you are preparing for this exam this article will help you in finding the latest and updated answers.
There is a total of 8 questions related to Bootstrapping & Cross Validation, Class Evaluation Measures, ROC curve, MDL, Ensemble Methods – Bagging, Committee Machines and Stacking, and Boosting. The correct answers are marked in Green Color with a tick sign.
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NPTEL Introduction to Machine Learning Assignment Week 7 Answers
1. For the given confusion matrix, compute the recall
2. Pallavi is working on developing a binary classifier that has a huge class imbalance. Which of the following metric should she optimize the classifier over to develop a good model?
3. While designing an experiment, which of these aspects should be considered?
4. Which of the following are true
TP- True Positive, TN – True Negative, FP – False Positive, FN – False Negative
5. In the ROC plot, what are the quantities along y and x axes respectively?
6. How does bagging help in improving the classification performance?
7. Which method among bagging and stacking should be chosen in case of limited training data? and What is the appropriate reason for your preference
8. Which of the following statements are TRUE when comparing Committee Machines and Stacking
NPTEL Introduction to Machine Learning Course is an online free course by IIT Madras that has been developed by Prof. Balaraman Ravindran. The main aim of this course is to provide the basic concepts of machine learning from a mathematically well-motivated perspective.
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