The Perfect Recipe for Classification Using Logistic Regression

Supervised Learning is an essential part of Machine Learning. Classification techniques are used when the variable to be predicted is categorical. A common example of classification problem is trying to classify an Iris flower among its three different species. Logistic regression is a classification technique borrowed by machine learning from the field of statistics. Logistic Regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome.