Statistical classification

Binary classification

Binary classification is the task of classifying the elements of a set into two groups (each called class) on the basis of a classification rule. Typical binary classification problems include: * Medical testing to determine if a patient has certain disease or not; * Quality control in industry, deciding whether a specification has been met; * In information retrieval, deciding whether a page should be in the result set of a search or not. Binary classification is dichotomization applied to a practical situation. In many practical binary classification problems, the two groups are not symmetric, and rather than overall accuracy, the relative proportion of different types of errors is of interest. For example, in medical testing, detecting a disease when it is not present (a false positive) is considered differently from not detecting a disease when it is present (a false negative). (Wikipedia).

Binary classification
Video thumbnail

Binary Tree 1. Constructing a tree (algorithm and pseudocode)

This is the first in a series of videos about binary trees. It is an explanation of the dynamic data structure known as the Binary Tree. It describes the way in which a binary tree is constructed, and how it can be represented numerically using a system of left and right pointers. This v

From playlist Data Structures

Video thumbnail

Astrophysics: Binary Star System (2 of 40) Types of Binary Star Systems

Visit http://ilectureonline.com for more math and science lectures! In this video I will introduce the different types of (optical, visual, eclipsing, astrometric, spectroscopic, spectrum, and contact) binary star system. Next video in this series can be found at: https://youtu.be/iVWx3I

From playlist ASTROPHYSICS 1 BINARY SYSTEMS & KEPLER'S LAWS

Video thumbnail

Abstract Algebra | Binary Operations

We present the notion of a binary operation and give some examples. http://www.michael-penn.net http://www.randolphcollege.edu/mathematics/

From playlist Abstract Algebra

Video thumbnail

Binary 4 – Floating Point Binary Fractions 1

This is the fourth in a series of videos about the binary number system which is fundamental to the operation of a digital electronic computer. In particular, this video covers the representation of real numbers using floating point binary notation. It begins with a description of standard

From playlist Binary

Video thumbnail

Types of Binary Star Systems

Our solar system has just one star in it, the sun. But this is actually not the most common situation for systems. Most systems are multi-star systems, with binary systems being extremely common. These are systems where two stars orbit around their center of mass, and some of them even hav

From playlist Astronomy/Astrophysics

Video thumbnail

Binary 3 – Fixed Point Binary Fractions

This is the third in a series of videos about the binary number system which is fundamental to the operation of a digital electronic computer. It covers the representation of real numbers in binary using a fixed size, fixed point, register. It explains with examples how to convert both po

From playlist Binary

Video thumbnail

Binary Text Classification | The Problem | Dan Brown v Oscar Wilde (Neural Nets for DH 11a)

In this video, we begin exploring our first binary text classification problem. I explain what a binary text classification problem is and then discuss the problem. I also discuss generally the solution that we will employ over the next few videos. If you enjoy this video, please subscrib

From playlist Binary Text Classification (Dan Brown v. Oscar Wilde)

Video thumbnail

Multiclass Classification : Data Science Concepts

How do we predict MORE than 2 classes??? My Patreon : https://www.patreon.com/user?u=49277905

From playlist Data Science Concepts

Video thumbnail

Introduction to Classification | Predictive Modeling and Machine Learning, Part 2

This video covers the basics of the most common machine learning classification models that you can tune to work with any number of predictor variables. Each has its advantages and disadvantages in terms of accuracy and training speed. The only way to know which one works best on a particu

From playlist Predictive Modeling and Machine Learning

Video thumbnail

A snapshot of few-shot classification - Richard Zemel

More videos on http://video.ias.edu

From playlist Mathematics

Video thumbnail

Confusion Matrix in Machine Learning | Binary and Multiclass Classification Examples | Edureka

🔥Edureka Data Scientist Course Master Program https://www.edureka.co/masters-program/data-scientist-certification (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") This Edureka tutorial explains the Confusion Matrix. How to construct confusion matrix for binary as well as multi class classification problems, vario

From playlist Data Science Training Videos

Video thumbnail

Binary 1 - Converting to and from Denary

This is the first in a series of computer science videos about the binary number system which is fundamental to the operation of a digital electronic computer. It covers the need for binary and details of how to convert positive whole numbers in base 10 into 8 bit binary, and vice versa.

From playlist GCSE Computer Science

Video thumbnail

Binary Classification — Topic 82 of Machine Learning Foundations

#MLFoundations #Calculus #MachineLearning To provide us with a real-world machine learning application to apply integral calculus to, this video introduces what binary classification problems are. There are eight subjects covered comprehensively in the ML Foundations series and this vide

From playlist Calculus for Machine Learning

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

Logistic Regression - VISUALIZED!

People talk about "sigmoid functions", "decision boundaries" and “Training”. But what exactly is happening behind the scenes? Let’s see for ourselves! Please SUBSCRIBE to me for more content! Shoutout to 3blue1brown for creating his animation math engine “manim”. Give this a * on your

From playlist Logistic Regression

Video thumbnail

19 Defining the types of binary operations

The two types of binary operations discussed in this video are commutative and associative. We saw them in the previous video and here we define them specifically so that we can build on our repertoire to use in proofs. Remember, it is by filling up our toolbox with these definitions that

From playlist Abstract algebra

Related pages

Cohen's kappa | Logistic regression | False positive rate | False positives and false negatives | Multi expression programming | Neural network | Receiver operating characteristic | Classification rule | Contingency table | Bayesian network | Qualitative property | Decision tree learning | Support vector machine | Geometric mean | Probit model | False discovery rate | Prosecutor's fallacy | Statistical classification | Linear genetic programming | Youden's J statistic | Multiclass classification | Set (mathematics) | Diagnostic odds ratio | One-class classification | Sensitivity and specificity | Confusion matrix | Detection theory | F-score | Likelihood ratios in diagnostic testing | Type I and type II errors | Phi coefficient | Odds ratio | Prevalence | Multi-label classification | Uncertainty coefficient | Bayesian inference