Mastering Logistic Regression Thresholds

tutorialforbeginner.com

Hey there, data enthusiasts, Pythonistas, and machine learning mavens! Today, we’re diving deep into the intriguing realm of logistic regression thresholds! Buckle up, as we embark on a fun-filled journey to find that elusive sweet spot where true magic happens! 🧙‍♂️

The implementation is available below:

portfolio/machine-learning/threshold-logistic-regression.ipynb at main · smortezah/portfolio

Contents

What are Thresholds, Anyway?
Escaping the Shackles of the Status Quo
Breaking Free — ROC Curve and the Quest for the Optimal Threshold
Precision and Recall — The Dynamic Duo
F1 Score — Finding the Harmonious Balance
Conclusion: Thresholdology

What are Thresholds, Anyway?

Let’s begin by demystifying the essence of thresholds in logistic regression. Imagine we have trained a logistic regression model, and now it’s time to make predictions. Instead of yielding hard class labels, logistic regression predicts probabilities — the likelihood of an instance…