FAQ: Data Analyses and Conclusions - Challenges in predictive analysis

This community-built FAQ covers the "Challenges in predictive analysis " exercise from the lesson “Data Analyses and Conclusions”.

Paths and Courses
This exercise can be found in the following Codecademy content:

FAQs on the exercise _Challenges in predictive analysis _

There are currently no frequently asked questions associated with this exercise – that’s where you come in! You can contribute to this section by offering your own questions, answers, or clarifications on this exercise. Ask or answer a question by clicking reply (reply) below.

If you’ve had an “aha” moment about the concepts, formatting, syntax, or anything else with this exercise, consider sharing those insights! Teaching others and answering their questions is one of the best ways to learn and stay sharp.

Join the Discussion. Help a fellow learner on their journey.

Ask or answer a question about this exercise by clicking reply (reply) below!
You can also find further discussion and get answers to your questions over in Language Help.

Agree with a comment or answer? Like (like) to up-vote the contribution!

Need broader help or resources? Head to Language Help and Tips and Resources. If you are wanting feedback or inspiration for a project, check out Projects.

Looking for motivation to keep learning? Join our wider discussions in Community

Learn more about how to use this guide.

Found a bug? Report it online, or post in Bug Reporting

Have a question about your account or billing? Reach out to our customer support team!

None of the above? Find out where to ask other questions here!

The animation is not really necessary here, and brings nothing other than detracting from being able to read the flow chart and understand it. Recommendation to just leave the entire thing as one image…


Hey, Codecademy staff, can you review how useful the image is for us? It’s a bit confusing, distracting and annoying.

I think this would be a good course suggestion.
So, create a topic in the Feedback & requests” category under “suggestions & features.”

Sharing my answers and see what others think.

1. Is the IB test score predicting algorithm high or low risk?
High risk as this determines which college they can be accepted into.

2. Who might be more likely to be accidentally discriminated against by the model: students at large schools with a long history of students taking the exam or students at small schools that only recently began offering the IB program?
Students at small schools that only recently began offering the IB program as there is not enough sample data to offer a fair and accurate result.
3. Is it fair to grant or deny college acceptance based on algorithm-predicted test scores?

1 Like

I agree with you on all the points.
Perhaps worth to flag that the answer of point 2 could also depends on how the model is built? For example the model could keep count of students that have onlt recently started the IB program and assign them a different score.