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Master Machine Learning Concepts

Explore a binary classification problem using K-Nearest Neighbors (K-NN) with two real-valued features. Analyze training data visually and apply distance-based classification techniques to predict outcomes. From a Fall 2021 ML course assignment.

Alice Edwards
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CS 178 Midterm ExamMachine Darning and Data Mining: Fall 202-1Wednesday' Novemter 6th, 2024•Pleaseputyourname andIDon every page.•Total time is Sil minutes. READ THE EXAM FIRST and organize your time; don't spendtoo long on any one problem.•Pleasewrite clearly and showallyourwork.•If you need clarification on a problem, please raise your hand and wait for the instructor orTA to come over.•You may use one sheet containing handwritten notes for reference. and a (basic) calculator.•T urn in your notes and any scratch pa]w:r with your exam .Problems1K-Nearest Neighborst15 points.)32Neural Networks,(15point#,)53Support Vector Machines,(15points,)74Naive Bayes Classifiersfl 5points,)1)

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