Understanding what defines a Bayes optimal classifier in …
The author still refers to the optimal classifier as the "Bayes decision rule", so we can conclude that, at least historically, "Bayes classifier" is the name given to the classifier that minimizes …
classification - Why do naive Bayesian classifiers perform so well ...
Naive Bayes classifiers are a popular choice for classification problems. There are many reasons for this, including: "Zeitgeist" - widespread awareness after the success of spam filters about …
bayesian - Naïve Bayes Theorem for multiple features - Cross …
Jan 17, 2018 · This is Bayes classification with multiple features, as you've recognized. The image below is a slide from my course at uni, however I don't understand anything of it. Who can …
bayesian - Bayes decision theory: Classification error probability ...
Bayes decision theory: Classification error probability Ask Question Asked 11 years, 5 months ago Modified 11 years, 5 months ago
Is Bayesian analysis with MCMC a way of quantitative classification?
Mar 10, 2025 · The simplest answer is that the Bayesian method is more flexible, you can set up any model you want, and then use MCMC make decisions. ML methods, for instance, …
Decision boundary in a Bayesian classification problem
Jan 2, 2021 · We are given a classification problem within Bayesian decision theory, with 3 equi-probable classes $w_i,\\,i=1,2,3$ and 2 features (or dimensions). The average of ...
machine learning - Bayes Classification vs Naive Bayes …
Mar 30, 2020 · Naive Bayes classifier is a classification algorithm, that uses the estimated marginal probabilities, naively assuming independence, to calculate probability distribution and …
Bayesian Classification evaluation - Cross Validated
I am trying to implement Bayesian Classification on the data set as follows: "Problem: classify whether a given person is a male or a female based on the measured features. The features …
bayesian - Importance of linear discriminants to classification at a ...
Jun 2, 2023 · These include descriptions of its use in dimensionality reduction, an explanation of classification using Bayes' rule, and a description of within- and between-class scatter …
bayesian - Classification error when estimating population size of …
Nov 11, 2023 · Briefly, when either class A or class B are extremely rare, classification is an inappropriate goal because as you have so rightly noted you can just classify everyone as …