The answer
It is an S-shaped curve that asymptoticly approaches 0 and 1.
What is Logistic Regression? Binary Classification Explained
What is the Sigmoid curve shape?
More FAQs in What is Logistic Regression? Binary Classification Explained
Linear regression can output values greater than 1 or less than 0, making it unsuitable for probabilities. It is also sensitive to outliers.
Using a Confusion Matrix, Accuracy, Precision, Recall, and AUC-ROC score.
When the model incorrectly predicts class 1 (positive) when the actual value is class 0 (negative).
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