Output (Target Variable, y, Y) - Python for Integrated Circuits - - An Online Book - |
||||||||
Python for Integrated Circuits http://www.globalsino.com/ICs/ | ||||||||
Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= In machine learning and statistics, the convention is to represent the target variable or output using a lowercase letter "y." The lowercase "y" is used to denote individual instances or observations of the target variable in a dataset. It is common to see it written as when referring to a single data point.For example, in a linear regression problem, if you have a dataset with input features and target values , you might see the relationship described as:--------------------------------------------------------------------- [3905] Here:
When discussing the target variable as a whole or referring to it in a more general sense, you can use "Y" (capital letter) to represent the set of all target values. However, in equations and notations, individual instances of the target variable are typically denoted as (lowercase).In machine learning, a training example is typically represented as a pair of input features ( ) and their corresponding target variable ( ). This pair, denoted as , is called a training example because it is used during the training phase of a machine learning algorithm to teach the model how to make predictions or learn patterns from data.Here's why is called a training example:
For cases with multiple examples , pair is the ith training example.============================================
|
||||||||
================================================================================= | ||||||||
|
||||||||