Naive Bayes is a scientific Windows software for classifying various data using principles of probability. It is possible to automatically assign correct labels to problem instances represented as vectors of feature values. The tool is written in the popular Python programming language.

Classification process

You can sort and filter information under two key assumptions: conditional independence between predictors and equal contribution of all features to the outcome. This way the classification problem is simplified by making it more computationally tractable.

Existing processing methods are based on applying the Bayes theorem between every pair of features given the value of the class variable. It is possible to classify text files or other raw data. Custom class labels are drawn from a finite set.

Bayesian statistics

With the help of the Bayes Rule users are able invert conditional probabilities. The method can be applied to sequential events, where additional information acquired later impacts the initial probability. This functionality is especially helpful in medical testing.

Features

free to download and use;
intended for automatic data classification;
utilizes the Bayes theorem to invert conditional probabilities;
written in the common Python language;
all class labels are drawn from a finite set;
you can simplify classification problems by making them more tractable;
compatible with all modern versions of Windows.