Statistical classification

Classification rule

Given a population whose members each belong to one of a number of different sets or classes, a classification rule or classifier is a procedure by which the elements of the population set are each predicted to belong to one of the classes. A perfect classification is one for which every element in the population is assigned to the class it really belongs to. An imperfect classification is one in which some errors appear, and then statistical analysis must be applied to analyse the classification. A special kind of classification rule is binary classification, for problems in which there are only two classes. (Wikipedia).

Classification rule
Video thumbnail

Category Theory: The Beginner’s Introduction (Lesson 1 Video 5)

Lesson 1 is concerned with defining the category of Abstract Sets and Arbitrary Mappings. We also define our first Limit and Co-Limit: The Terminal Object, and the Initial Object. Other topics discussed include Duality and the Opposite (or Mirror) Category. These videos will be discussed

From playlist Category Theory: The Beginner’s Introduction

Video thumbnail

Category Theory 1.2: What is a category?

What is a Category?

From playlist Category Theory

Video thumbnail

The Product Rule of Differentiation (Introduction)

This video is a new version of the introductory video to the product rule of differentiation. Site: http://mathispower4u.com Search: http://mathispower4u.wordpress.com

From playlist Differentiation Using the Product Rule

Video thumbnail

Category Theory 3.1: Examples of categories, orders, monoids

Examples of categories, orders, monoids.

From playlist Category Theory

Video thumbnail

Periodic Classification of Elements - Introduction | Don't Memorise

Imagine you have to begin a library. And you have thousands of books of different genre. How would you arrange the books? Will you keep all the books together. Nope! For people to find the books of their interest easily you will arrange them in groups. Similarly, even in Chemistry, there a

From playlist Periodic Classification

Video thumbnail

Oktay Günlük: "Fair and Interpretable Decision Rules for Binary Classification"

Deep Learning and Combinatorial Optimization 2021 "Fair and Interpretable Decision Rules for Binary Classification" Oktay Günlük - Cornell University Abstract: In this talk we consider the problem of building Boolean rule sets in disjunctive normal form (DNF), an interpretable model for

From playlist Deep Learning and Combinatorial Optimization 2021

Video thumbnail

When to use NER, EntityRuler, SpanCat, or SpanRuler in spaCy

Join this channel to get access to perks: https://www.youtube.com/channel/UC5vr5PwcXiKX_-6NTteAlXw/join If you enjoy this video, please subscribe. ✅Be my Patron: https://www.patreon.com/WJBMattingly ✅PayPal: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=AZ73QW52SUX8N&curr

From playlist SpaCy for Digital Humanities with Python Tutorials

Video thumbnail

Digging into Data: Supervised Classification with Logistic Regression and Naive Bayes

Our first lecture on classification, where we cover two linear methods.

From playlist Digging into Data

Video thumbnail

Naive Bayes Classifier Tutorial | Naive Bayes Classifier in R | Naive Bayes Classifier Example

( Data Science Training - https://www.edureka.co/data-science ) Watch sample class recording: http://www.edureka.co/data-science?utm_source=youtube&utm_medium=referral&utm_campaign=naive-bayes-classifier-15 Data science is the study of the generalizable extraction of knowledge from data,

From playlist Data Science Training Videos

Video thumbnail

Decoding the Science of Decision Trees! Learn from Experts | Webinar -1 | Edureka

Watch Sample Class recording: http://goo.gl/OBlNnC This course is designed for professionals who aspire to learn 'R' language for Analytics. The course starts from the very basics like: Introduction to R programming, how to import various formats of Data, manipulate it, etc. to advanced t

From playlist Webinars by Edureka!

Video thumbnail

Lecture 15: Microarray Disease Classification

MIT HST.512 Genomic Medicine, Spring 2004 Instructor: Dr. Steven A. Greenberg View the complete course: https://ocw.mit.edu/courses/hst-512-genomic-medicine-spring-2004/ YouTube Playlist: https://www.youtube.com/watch?v=_-gQchCLmXk&list=PLUl4u3cNGP613PJMNmRjAIdBr76goU1V5 This is the Use

From playlist MIT HST.512 Genomic Medicine, Spring 2004

Video thumbnail

Malware Analysis Bootcamp - Malware Classification And Identification

Welcome to the Malware Analysis Bootcamp. We will be covering everything you need to know to get started in Malware Analysis professionally. In this video, we will be explaining what malware classification is and why it is important. Malware Sample: https://s3.eu-central-1.amazonaws.com/d

From playlist Malware Analysis

Video thumbnail

Integration 8 The Substitution Rule in Integration Part 2 Example 1

Working through an example of substitution in integration.

From playlist Integration

Related pages

Logistic regression | Bayes classifier | Bayes' theorem | Type I and type II errors | Multiclass classification | Class (set theory) | Statistical classification | Event (probability theory) | Loss functions for classification | Multinomial probit | Sensitivity and specificity | Statistics | Probability | Binary classification | Confusion matrix | Bayesian inference | Decision rule | Disease