What condition indicates the decision boundary in logistic regression?
Understand the Problem
The question is asking about the specific condition used to determine the decision boundary in logistic regression, which is a fundamental concept in understanding how this statistical method classifies binary outcomes.
Answer
The predicted probability is 0.5
The decision boundary in logistic regression is determined by the condition where the predicted probability is 0.5
Answer for screen readers
The decision boundary in logistic regression is determined by the condition where the predicted probability is 0.5
More Information
In logistic regression, the decision boundary is a threshold where the model predicts one class over another. For a binary classifier, this is typically at the predicted probability of 0.5.
Tips
A common mistake is to incorrectly assume the decision boundary is non-linear just because the logistic function is non-linear. However, the boundary itself can be linear, especially in cases of linear logistic regression.
Sources
- Logistic Regression and Decision Boundary - Towards Data Science - towardsdatascience.com
- Machine learning (Part 24)-Decision Boundary | by Coursesteach - medium.com
- Logistic Regression - ML Explained - ml-explained.com
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