Category

Statistical classification

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support vector machine

set of methods for supervised statistical learning

statistical classification

problem of identifying to which of a set of categories (sub-populations) a new observation belongs, on the basis of a training set of data containing observations (or instances) whose category membership is known

naive Bayes classifier

classification algorithm

k-nearest neighbors algorithm

classification algorithm

receiver operating characteristic

performance of a binary classifier system as its discrimination threshold is varied

sensitivity and specificity

statistical measures of the performance of a binary classification test

linear discriminant analysis

method used in statistics, pattern recognition and machine learning

false positives and false negatives

types of error in data reporting, where false positive is an error in which a test result incorrectly indicates the presence of a condition, while a false negative is the opposite error where the test fails to indicate the actual presence

confusion matrix

table layout for visualizing performance; also called an error matrix

bias–variance tradeoff

property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa

Linear classifier

statistical classification in machine learning

binary classification

the task of classifying the elements of a given set into two groups (predicting which group each one belongs to) on the basis of a classification rule

measure of the capacity of a statistical classification algorithm

similarity measure

function that quantifies the similarity between two objects

Phi coefficient

type of coefficient

multiclass classification

problem of classifying instances into one of three or more classes

Decision boundary

Boundary used within classification

predictive modelling

Statistical and machine learning modelling with the goal of predicting outcomes

Youden's J statistic

Index that describes the performance of a dichotomous diagnostic test

concept in machine learning where information is used that would not be available when predictions are made

Bayes classifier

classification algorithm

Bayes error rate

error rate of the Bayes classifier

concept in machine learning

Class membership probabilities

Machine learning problem