Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For Engineers · Naive Bayes

Naive Bayes for a load balancer

Built for engineers using it for real design work. Go from concept to a running model in the browser, then scale to the cloud when needed. Simulate a load balancer live below — adjust the inputs and watch it respond, right in your browser.

Naive Bayes ClassifierLive

classification by probability

Controls

Presets

Class 1 mean

Class 2 mean

Spread σ

Prior P(class 1)

Naive Bayes models each class as a probability distribution and assigns a new point to whichever class makes it most likely, weighted by the prior. Where the weighted curves cross is the decision boundary. It is fast, simple, and famously strong on text. Educational tool.

▶ Run in Python

Data Inspector

Decision boundary0.28

Class overlaplow (easy)

Governing equation

P (C ∣ x) \propto P (C) N (x; μ_{C}, 1), P (C_{1}) = 0.5, \hat{C} = ar g C max

Reading this result: Well-separated classes with a balanced prior put the boundary right between the means, exactly where the two weighted curves cross.

Runs locally in your browser — free forever. Scale to the cloud when reality gets heavy.

or unlock everything with Pro →

Also for:Students Researchers Educators Hobbyists & Makers K-12 Students First Responders General version →

More with Naive Bayes

Naive Bayes for a neural network Naive Bayes for a sorting algorithm Naive Bayes for a search tree Naive Bayes for a hash table Naive Bayes for a recommendation engine Naive Bayes for an image classifier Naive Bayes for a chatbot Naive Bayes for a pathfinding AI

Frequently asked questions

Is this good for engineers?: Yes — this version of "Naive Bayes for a load balancer" is framed for engineers using it for real design work. Go from concept to a running model in the browser, then scale to the cloud when needed.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.