Simple Linear Regression: ... a common approach involves developing both a linear regression model and a logistic classification model with the same dataset and deploying them sequentially.

In our example of simple linear regression 1, we saw how one continuous variable (weight) could be predicted on the basis of another continuous variable (height).To illustrate classification, here ...

We’ll be looking at classifiers based on the generalised linear model: Logistic regression; Multinomial regression; We’ll look at one dataset on Horse Colic, and then take another look at the wine ...

Logistic regression employs a logistic function with a sigmoid (S-shaped) curve to map linear combinations of predictions and their probabilities. Sigmoid functions map any real value into ...