!!! Overview
[{$pagename}] is [learning] from a Supervisor.

[{$pagename}] exhibits the following:
* [Classification]
** [Logistic Regression]
** [K-Nearest Neighbor] ([KNN])
** [Naive-Bayes]
** [SVM]
* [Linear Regression]

* [Decision Tree]
* Direct Feedback
* Predict outcomes

[{$pagename}] will always have a [Training dataset]

!! [{$pagename}] [Machine Learning]
[{$pagename}] is the [Machine Learning] objective to determine the [Mapping function] from [training dataset]. 

[Supervised Learning/Supervised Learning.png]* [Classification]
* [Training dataset]
* [Mapping function]
* [Machine Learning model]
* [Predictor variables]

In [{$pagename}], each example in the [{$pagename}] is a pair consisting of an input object (typically a [vector]) and an output value (called the supervisory signal). 

A [{$pagename}] [algorithm] analyzes the [training dataset] and produces a [Mapping function], which can be used for mapping new [data]. An optimal scenario will allow for the [Mapping function] to correctly determine the [classification] for unseen [data]. This requires the [Mapping function] to generalize from the [training dataset] to unseen situations in a "reasonable" way (see [Bias error]).

[{$pagename}]s may be either a: ([Classification and Regression Trees])
* [Classification]
* [Regression]

!! More Information
There might be more information for this subject on one of the following:
[{ReferringPagesPlugin before='*' after='\n' }]
----
* [#1] - [Supervised_learning|Wikipedia:Supervised_learning|target='_blank'] - based on information obtained 2017-11-24-