Limitations of Logistic Regression

Logistic Regression is one of the supervised Machine Learning algorithms utilized for order for example to foresee discrete esteemed result. It is a measurable methodology that is utilized to anticipate the result of a reliant variable dependent on perceptions given in the preparation set

Much the same as linear regression, the model remaining parts very restricted as far as execution, albeit a decent regularization can offer respectable execution. The coefficients are not as effectively interpretable concerning the straight relapse. There is a tradeoff to make while picking these sort of models, and they are frequently utilized in client grouping for vehicle rental organizations or in financial industry for instance

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