Use the Decision tree to classify the students in the class based on their academic performance. If you came to know that your model is suffering from low bias and high variance. Which algorithm should you use to tackle it? ...

Explain the naïve nature of single and multi- linear regression. (CO3)

Give a brief description on Naïve bay’s algorithm and outlines some scenarios where naïve bay’s is the best fit. (CO3)

Consider a modified k-NN method in which once the k nearest neighbours to the query point are identified, you do a linear regression fit on them and output the fitted value for the query point. Which of ...