Machine Learning / Initialize Model / Classification

 

Updated: March 10, 2016

What is Classification?

Classification algorithms predict the class or category for a single instance of data. For example, email filters use binary classification to determine if an email is spam. There are two forms of classification tasks. The first is binary classification, where the goal is to predict one of two outcomes. The other is multiclass classification, where the goal is to predict one of many outcomes. The output of a classification algorithm is called a classifier, which can be used to predict the label of a new (unlabeled) instance.

Wondering how to select a classification algorithm? See these topics:

The category Initialize Classification Model includes the following modules:

Module

Description

Multiclass Decision Forest

Creates a multiclass classification model using the decision forest algorithm

Multiclass Decision Jungle

Creates a multiclass classification model using the decision jungle algorithm

Multiclass Logistic Regression

Creates a multiclass logistic regression classification model

Multiclass Neural Network

Creates a multiclass classification model using a neural network algorithm

One-vs-All Multiclass

Creates a multiclass classification model from an ensemble of binary classification models

Two-Class Averaged Perceptron

Creates an averaged perceptron binary classification model

Two-Class Bayes Point Machine

Creates a Bayes point machine binary classification model

Two-Class Boosted Decision Tree

Creates a binary classifier using a boosted decision tree algorithm

Two-Class Decision Forest

Creates a two-class classification model using the decision forest algorithm

Two-Class Decision Jungle

Creates a two-class classification model using the decision jungle algorithm

Two-Class Locally Deep Support Vector Machine

Creates a binary classification model using the locally deep Support Vector Machine algorithm

Two-Class Logistic Regression

Creates a two-class logistic regression model

Two-Class Neural Network

Creates a binary classifier using a neural network algorithm

Two-Class Support Vector Machine

Creates a binary classification model using the Support Vector Machine algorithm

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