This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran's book "Programming Collective Intelligence." The book has python implementations; this is a Java implementation.
ci-bayes, a project hosted on java.net, has released its first stable version. ci-bayes allows the use of a classifier to determine what classification a given object might fall into, given prior training, and provides multiple
Libtextcat is a library with functions that implement the classification technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization" [1]. It was primarily developed for language guessing, a task on which it is known to perform with near-pe
In this article we will look at a supervised machine learning algorithm called Logistic Regression Classifier for multi-class classification .; Author: pi19404; Updated: 29 Sep 2014; Section: Algorithms & Recipes; Chapter: General Programming; Updated: 29 Sep 2014
Sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified as such (e.g. the percentage of sick people who are correctly identified as having the condition). Specificity measures the proportion of negatives which are correctly identified (e.g. the percentage of healthy people who are correctly identified as not having the condition).
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