(h)  The altitude above sea level recorded in meters.

Extra Credit: Which of the following are the indicators of overfitting in a model? (There can be more than two answers)

(j)  K-Means is ideal for detecting arbitrarily shaped clusters.

Extra Credit: If overfitting is observed in a model, which of the following changes would be most beneficial? (There can be more than two answers)

Does this curve indicate overfitting? If so, where does overfitting occur? Select one of the options below.

(c) The KNN algorithm relies on feature scaling (e.g., normalization) to work effectively when using Euclidean distance as a metric.

(i)  Support Vector Machine can handle high dimensional data. 

(b) Based on this training data set, assume you would like to predict a user’s rating of an unrated movie, i.e., classify the user into 5 categories (rating 1 to 5), given the user’s rating to other similar movies rated by the same user. Between “KNN”, “Neural network”, and “Naïve Bayes”, which one would you use and why? (Please limit your answer to 30 words).

(b) Increasing the value of “K” in KNN generally makes the model more sensitive to outliers.

The suffix -ac as in cardiac means