Logistic Regression is a statistical and machine learning algorithm used for binary classification problems β where the output (target) is one of two possible values, like:
β
Pass / β Fail
π Yes / π No
π΅ Class 0 / π΄ Class 1
Despite its name, logistic regression is a classification algorithm, not a regression one.
1 . Import Libraries
2. Load Dataset or Create Dataset
3. View / Preprocess
4. Split The Data
5. Build The Logistic Regression Model
6. Test & Evaluate
7. Performance Analysis
8. Confusion Matrix
9. Accuracy Score
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