(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

Quizzes are located in the learning modules. Questions will be objective and associated with the content material for the cited text chapters. There are both True/False and Multiple Choice type questions Each quiz is comprised of 50 questions from which 20 questions will be randomly selected. Each question is valued at .5 (half a point) resulting in a total possible score of 10 points per quiz. Procedures for the online test format, Honorlock, are available in the attached file. Review the information to prepare for taking the quiz. Unit 2 has 2 Quizzes that are 45 minutes each. About Honorlock.pdf Honorlock – Selected Standard Guidelines for this Course.pdf

True or False: The directional term Ventral refers to the belly or underside of a body or body part

True or False: The term etiology is the study of disease causes

Hemorrhage means blood is bursting forth. Which part of the word hemorrhage means bursting forth?

True or False: Ilium is a noun meaning a structure of the hip, whereas iliac is an adjective meaning pertaining to the structure of the hip.