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PLEASE READ THE INSTRUCTIONS. This is Doctoral work!! Provide one response to EACH student’s POST. Each response should be 150 words. PLEASE KEEP IN ORDER; the responses must be relevant to the...

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Week Introduction
This week focuses on evaluating AI and ML models using various metrics. Students will learn about different evaluation metrics and their applications, performing a comparative analysis on a dataset selected by the student.
Week Objectives 
At the end of this week students will be able to:
· Describe different evaluation metrics for ML models. (CO2)
· Apply various evaluation metrics to a classification problem. (CO3)
· Compare the effectiveness of different evaluation metrics. (CO4)
 
Online Lecture 
 
The instructor will post the video recorded from this week's synchronous session here.
 
Below is an outline of the items for which you will be responsible throughout the week.
 
Reading with a due date
DUE: Early in the week
12 Important Model Evaluation Metrics for Machine Learning Everyone Should Know (Updated 2023)
https:
www.analyticsvidhya.com
log/2019/08/11-important-model-evaluation-e
or-metrics/Links to an external site.
Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics
https:
www.mdpi.com/ XXXXXXXXXX/10/5/593/pdfLinks to an external site.
Model Evaluation Techniques in Machine Learning (python example at end)
https:
medium.com/@fatmanurkutlu1/model-evaluation-techniques-in-machine-learning-8cd88deb8655Links to an external site.
 
Lecture with a due date
DUE: Early in the week
How to evaluate ML models | Evaluation metrics for machine learning
https:
www.youtube.com/watch?v=LbX4X71-TFILinks to an external site.
Metrics and evaluation of machine learning models
https:
www.youtube.com/watch?v=u1-m_hsF7DELinks to an external site.
Evaluating Machine Learning Models
https:
www.youtube.com/watch?v=FeKSQy5t_TILinks to an external site.
Evaluating Classification and Regression Machine Learning Models
https:
www.youtube.com/watch?v=pyl6fO4C7h4Links to an external site.
 
Additional Resources (reading + videos)
No Due date
No additional resources.
 
Submit your completed written assignment by Day 7 of this week.  For detailed instructions on completing this assignment, see the associated course page.
Week 6 Assignment – DUE: Day 7
Week 6 Assignment
Instructions:
Conduct a comparative analysis of different evaluation metrics for a classification problem. Use a dataset and demonstrate the application of at least three metrics. Submit your code AND a separate 1-page report on your approach and results. Use Jupyter notebooks for coding.
Your essay should be at least 2-3 pages in length, not including cover sheet and reference page, and fully explore all of the following items described above. Include at least 2 outside citations and use proper APA formatting.
This assignment is worth 100 points towards the maximum 1460 points you can earn in class.
Answered Same Day May 08, 2024

Solution

Bhaumik answered on May 08 2024
12 Votes
Assignment
· Ho Choi, you have highlighted several critical aspects of Scrum that can help address the issues at ByteNinja. The role of the Scrum Master is indeed central to ensuring that the team follows the Scrum framework, maintains effective communication, and collaborates well.
· The Scrum Master also serves as a guide and mentor to the team, helping them to continuously improve their processes and address challenges efficiently. Your point about the need for clear prioritization and allocation of work between the Project Manager, developer, and tester is crucial. Scrum's emphasis on cross-functional teams and self-organization should help improve this aspect. Additionally, the Scrum Master's role in facilitating quality assurance and testing processes is vital, as these aspects directly impact the final product's success.
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· Martin, you have provided a comprehensive overview of the roles and responsibilities within a Scrum...
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