sapiensnb

Name	sapiensnb JSON
Version	1.0.4 JSON
	download
home_page	https://github.com/sapiens-technology/SapiensNB
Summary	SapiensNB (Naive Bayes) is a classification algorithm that returns a probabilistic result based on Bayes Theorem.
upload_time	2024-03-27 06:54:30
maintainer	None
docs_url	None
author	SAPIENS TECHNOLOGY
requires_python	None
license	Proprietary Software
keywords	sapiens artificial intelligence machine learning data science ai ml naive bayes
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            The SapiensNB or Sapiens for Naive Bayes is a Machine Learning algorithm focused on probabilistic data classification, where the answer for each input is calculated based on the highest probability of similarity between the prediction input and the training inputs. The probabilistic calculation is based on the following mathematical theorem: P(A/B) = P(B/A) x P(A) / P(B), where P is the probability, A is the class and B are the attributes. This theorem can be applied to both numerical classification and textual classification of data.

            

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