QUIZ 4

About This Quiz

• Course content tested: Machine Learning Algorithms, Model Selection, Algorithm Characteristics, Feature Engineering, Regularization Approaches
• Quiz format: multiple choice
• Time limit: none
• Number of attempts: unlimited

Objectives

This assignment will guide your learning process to ensure you can:

• Compare and evaluate different machine learning algorithms (decision trees, neural networks, kNN, SVM) and their appropriate use cases in solving economic problems. (CLO-A, CLO-B, MLO 1)
• Analyze the strengths and limitations of various ML algorithms, including their handling of different data types, interpretability, and computational requirements. (CLO-B, MLO 2)
• Evaluate how different ML algorithms handle regularization and prevent overfitting, including parameter tuning and model-specific approaches. (CLO-B, MLO 4, MLO 5)
• Identify appropriate ML algorithms for specific economic applications based on data characteristics and problem requirements. (CLO-C, CLO-F, MLO 3)
• Interpret and explain the performance characteristics and limitations of different ML approaches in economic contexts. (CLO-D, MLO 6)
• Compare probabilistic and non-probabilistic approaches in machine learning, including their implications for uncertainty estimation and decision-making. (CLO-E, MLO 1, MLO 4)

(CLO) stands for Course Learning Objective. (MLO) stands for Module Learning Objective You will find a complete list of Course Learning Objectives in the Syllabus and on the Start Here: Course Overview page. Module Objectives are listed on the Module Introduction pages. Each Assignment Objective and Module Objective in this course has its associated course-level objective indicated in parentheses to clarify the relationship between the two.  

Guidelines

Click the "Take the quiz" button once you are ready to take the quiz. You will be able to take this quiz as many times as needed, but answers will not be revealed. Active recall (testing yourself) is an important part of the learning process, so you will be best served by taking this quiz honestly based on what you know, going back to review materials based on what you missed, then coming back to take the quiz again.

If you purposefully or inadvertently close the window, you may re-enter the quiz by clicking the "Resume Quiz" button. Note that the timer will continue to count down to zero and automatically submit your quiz when the provided time runs out. 

Academic Integrity

• Getting help on the quiz from your peers is not permitted.
• Collaborating, or completing the quiz with others in the class, is not permitted.
• Copying or reusing previous work is not permitted.
• Open-book research for the quiz is permitted and encouraged.