Feedback on Linear Regression Assignment
Be curious!
LLMs!
Carlijn & Georgia
- Commits
- How many Carlijns?
- Georgia one commit?
- Commit messages good but be a bit more specific
- Cartoon on informative git commit messages
 
- Good explanatory text and layout.
- Good residual and scale location plots. But what can we do about the nonlinearity and heteroscadisticity?
- Correlations: what steps to take?
- Think about your layout in the answers to 9c
- 9d scale location and influence plots are not the prettiest. How could you make the plot more readable?
- "…exclusion from the model would likely result in a noticeable change in the estimated coefficients."
Emil, Adrian, Louanne
- No report, just code
- Where to look? Various files.
- Comments in Python files
- Spider file headers - # -*- coding: utf-8 -*- """ Created on Thu Sep 25 12:19:18 2025 @author: seinc """ 
- You might consider a separate file for imports and setup.
Matúš, Jesse, Nora
- Single repo. We will use one repo per assignment.
- Lab1 in Python file. Clear code with comments.
- Lab2 files not obvious to find.
- Clearly laid out. Good formatting
- "High multicollinearity may require careful handling in regression"
- "significant contributors to predicting mpg"
- QQ-plots good!
- Lots of plots!
- Commits
- Watch out for how some editors save your files
- .gitignoreand- .DS_Storein this commit
Madalina, Natalia
- Week 1
- All commits by Natalia
- Learning goals and questions stated in report.
- Code and answers in Python
- No plots
 
Yaohong, Natalia
- Many commits by Natalia
- Short direct answers in the beginning. Better explanations later.
Roman, Lynn
- lviss
- Lots of Roman
- Commit messages
- Put yourself into the reader's shoes.
- Images of text!
Janina and Mariana
- Most balanced commit history!
- Images subdir
- Step by step explanation
- Good formatting. Drawing attention to results in bold.
- Don't let plots get too "busy". See Tufte
- Something went wrong with the formatting.
Max
- Commented code for exercises.
Nora and Jagoda
- Balanced commits with encouragement!
- All in single Python file with comments
- Zone Identifier files
Fridolin & Efraim
- Plots with little explanation
- Selecting many columns - desc_stat = auto.select( pl.col("mpg"), pl.col("cylinders"), pl.col("displacement"), pl.col("horsepower"), pl.col("weight"), pl.col("acceleration"), pl.col("year"), ).describe() desc_stat = auto.select( [ "mpg", "cylinders", "displacement", "horsepower", "weight", "acceleration", "year", ], ).describe() 
- Same applies to - savefigas to reading data. Better use relative dir- plot_9_d.savefig( "/Users/efraimtoth/Library/CloudStorage/OneDrive-UvA/AUC/3rd year/Machine Learning/repos/lab1/Images/auto_pairplot.png" )
Efraim & Romane
- Commits in shifts
- Image sizing
- Table formatting
Yaohong & Emil
- In Python files with comments
- Each one did a complete lab.