You are building a model to predict whether a given email is spam or not. Why might Logistic Regression be a suitable approach?
- Because it can model binary outcomes and estimate probabilities
- Because it can predict multiple classes
- Because it works well with unstructured data
- Because it's a regression algorithm
Logistic Regression is suitable for binary classification problems such as spam detection, as it models binary outcomes and can estimate the probability of an email being spam or not.
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