Question

What is the name of the function that takes the input and maps it to the output variable called ?

Answer 1

There is a common principle that underlies all supervised machine learning algorithms for predictive modeling.

In this post you will discover how machine learning algorithms actually work by understanding the common principle that underlies all algorithms.

Answer 2

Machine learning calculations are procedures for assessing the objective capacity to anticipate the yield variable (Y) given info factors (X).  

Distinctive portrayals make diverse suspicions about the type of the capacity being found out, for example, regardless of whether it is straight or nonlinear. Different machine learning calculations make diverse suspicions about the shape and structure of the capacity and how best to streamline a portrayal to inexact it.  

This is the reason it is so imperative to attempt a suite of various calculations on a machine learning issue, since we can't know before hand which approach will be best at assessing the structure of the hidden capacity we are endeavoring to rough.