Logistic Regression
In the previous post we have discussed what is Regression and and what is Linear Regression in depth. In this Post we are going to see about LOGISTIC REGRESSION, a classification technique, used in MACHINE LEARNING. What is Logistic Regression? Logistic Regression is another supervised, statistical, predictive model used for classification mostly in 2 classes. But this technique can be used for multinomial classification i.e. more than 2 classes using some method like ' OVR '( ONE VS REST ), ' multinomial ', 'auto' etc. Note: method will be selected depending upon the solver by default. For more info click here. Logistic Regression - A Regression Problem This is a very important concept. Actually Logistic regression is implemented using Linear regression. At the end there is a conversion method(discussed later) to make sure the result i.e. the probability for each class lies between 0 and 1. (0 < P(A) < 1) . In the above, two pic...
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