29RanRegression

Health insurance premium

I mapped sex and smoker to 0 and 1, checked correlations (smoking has by far the strongest link to charges) and trained a random forest on age, sex, BMI and smoker.

Original tutorial by Aman Kharwal: Health Insurance Premium Prediction (opens in a new tab)

What it printed in 2022

Numbers read from the saved notebook outputs. Cell numbers count every cell in the notebook, Markdown included, starting at 1.
Output	Value	Cell #
Correlation of smoker with charges	0.79	9

Cell # counts every cell from the top of the notebook, Markdown included, starting at 1.

The notebook printed five predictions and no score.

The data

The 1,338-row medical cost table bundled as Health_insurance.csv.

What I'd do differently

Report MAE and R² on held-out rows.
Include children and region, and try a log of charges, which are heavily skewed.