pros and cons of logistic regression?

Supervised Machine Learning Tutorial [Part 12] | Advantages and Disadvantages of Logistic Regression

Logistic regression is easier to implement, interpret, and very efficient to train. If the number of observations is lesser than the number of features, Logistic Regression should not be used, otherwise, it may lead to overfitting. It makes no assumptions about distributions of classes in feature space.

Logistic Regression Analysis: Introduction, Types and Data Considerations

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