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Logistic regression model built in Python which tests several times with different thresholds and compares how each threshold impacted the accuracy of the model's predictions of whether or not a safety car was deployed given the features of a lap …
Logistic regression model built in Python which tests several times with different thresholds and compares how each threshold impacted the accuracy of the model’s predictions of whether or not a safety car was deployed given the features of a lap in a Formula One race.
(Jupyter Notebook usage led to significantly shorter time tracked than actually spent)
This project uses AI
Used Claude AI for debugging and partially generating code to display and explain graphs.