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 Exam
Machine Darning and Data Mining: Fall 202-1
Wednesday' Novemter 6th, 2024
• Please put your name and ID on every page.
• Total time is Sil minutes. READ THE EXAM FIRST and organize your time; don't spend
too long on any one problem .
• Please write clearly and show all your work.
• If you need clarification on a problem, please raise your hand and wait for the instructor or
TA 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 .
Problems
1 K-Nearest Neighborst 15 points.) 3
2 Neural Networks, (15 point#,) 5
3 Support Vector Machines, (15 points,) 7
4 Naive Bayes Classifiers fl 5 points,) 1)
Machine Darning and Data Mining: Fall 202-1
Wednesday' Novemter 6th, 2024
• Please put your name and ID on every page.
• Total time is Sil minutes. READ THE EXAM FIRST and organize your time; don't spend
too long on any one problem .
• Please write clearly and show all your work.
• If you need clarification on a problem, please raise your hand and wait for the instructor or
TA 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 .
Problems
1 K-Nearest Neighborst 15 points.) 3
2 Neural Networks, (15 point#,) 5
3 Support Vector Machines, (15 points,) 7
4 Naive Bayes Classifiers fl 5 points,) 1)
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Information Technology