Question 3 What is a similarity measure? A) A mathematically calculable distance metric B) A simple probability-based classification method C) Among the simplest of all machine-learning algorithms D) A mathematically calculable volume metric 5 Points
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Step 1: A similarity measure is a function that quantifies the similarity between two objects. Show more…
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Algorithm Definitions Match each algorithm to the correct definition. A. KNN Aims to create the largest possible line or margin between observations, to cleanly separate the target classes. B. SVM Is a probabilistic model based on Bayes' theorem; it gives us classifications based on probabilities. C. Decision Tree Is a cascading set of questions, used to incrementally separate classes and improve predictive power. D. Naive Bayes Assigns output classes based on a specified number of nearby datapoints. E. Random Forest Combines the results of several decision trees in order to improve accuracy.
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You would like to conduct a cluster analysis with three binary variables. For all three of these variables, you can be sure that all of the observations coded "1" are similar to each other, and the observations coded "0" are similar to each other. Which distance measure should you use? Matching distance Manhattan distance Jaccard's distance Euclidean distance
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