What is logistic regression? Logistic regression is an algorithm that is used for binary classification. The binary classification means that either the predicted outcome is true or false, yes or no, 0 or 1 etc… Logistic regression’s main purpose is to classify predicted outcomes. Let us understand logistic regression in simple terms with an example. Let’s understand whether the student will pass or fail the exam based on the number of hours he studied. If the student has put more hours into studying then he will likely pass the exam. and if he studied for fewer hours then he will likely fail the exam. Based on the above example we can create the logistic regression model. So that we can predict whether a student will pass or not based on the number of hours he studied. Michaelg2015 , CC BY-SA 4.0 , via Wikimedia Commons Logistic regression is a useful tool for predicting probabilities. It is simple to implement and easy to interpret. It is widely used in a variety of fields, including...
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