LR for churn prediction

LR is one of the most widely used classifiers to predict a binary response. It is a linear ML method, as described in Chapter 1, Analyzing Insurance Severity Claim. The loss function is the formulation given by the logistic loss:

For the LR model, the loss function is the logistic loss. For a binary classification problem, the algorithm outputs a binary LR model such that, for a given new data point, denoted by x, the model makes predictions by applying the logistic function:

In the preceding equation, z = WTX and if ...

Get Scala Machine Learning Projects now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.