GOVERNMENT POLYTECHNIC RAJKOT
INFORMATION TECHNOLOGY DEPARTMENT
SUBJECT: FUNDAMENTALS OF MACHINE LEARNING (4341603)
Assignment 3 (CO2)
TITLE : MODELING AND EVALUATION
Submission date :
07/06/2023
1. Explain “No Free Lunch” theorem in context of machine learning.
2. Explain the process of K-fold cross-validation.
3. What is underfitting in context of machine learning models? What is the
major cause of underfitting?
4. What is overfitting? When does it happen?
5. Differentiate the following :
 Predictive and Descriptive models
 Lazy and Eager Learner
 Cross-validation and Bootstrapping
 Model underfitting and overfitting
6. What is Confusion Matrix? Explain how it is used to calculate accuracy of
the model.