Classification

It is a technique to determine the extent to which a data sample will or will not be a part of a

category or type.

• Classification

• Clarification

• Identification

• Enumeration

Two techniques for prediction

• Model Construction & Model Usage

• Model Design & Model Analysis

• Construction Design & Construction Usage

• Analysis Design & Analysis usage

Two types of Classification Algorithm

• Linear Models & Non - Linear Models

• Design & Control

• Classification & Analysis

• Design & System

Two types of Linear Model

• Naive Bayes & Decision Tree

• Logistic Regression & Support Vector Machine

• Design & Analysis

• Control Regression & Algorithmic Regression

This method is widely used for binary classification problems. It can also be extended to multi-class classification

problems.

• LInear Regression

• Support Vector Machine

• Logistic Regression

• Non - Linear Regression

These are classification

algorithms used to assign data to various classes.

• Decision Tree Classification

• Random Forest Classification

• Linear Regression

• Support Vector Machine

A _____ is the Euclidean distance between a certain data point x to the hyperplane.

• geometric margin

• Euclegian Tree

• Node

• Linear Regression

This is a probabilistic model which assumes conditional independence between features.

• K neighboor

• Naive Bayes

• Decision Tree

• Linear Regression

A _______ is a graph that makes use of branching method to demonstrate every possible

outcome of a decision.

• Decision tree

• Naive Bayes

• Linear Regression

• K Nearest Neighbor

A _______ can be considered an ensemble of decision trees. It builds and combines multiple

decision trees to get a more accurate prediction.

• K nearest neighbor

• Linear Regression

• Decision Tree

• Random forest