×

Python Tutorial

Python Basics

Python I/O

Python Operators

Python Conditions & Controls

Python Functions

Python Strings

Python Modules

Python Lists

Python OOPs

Python Arrays

Python Dictionary

Python Sets

Python Tuples

Python Exception Handling

Python NumPy

Python Pandas

Python File Handling

Python WebSocket

Python GUI Programming

Python Image Processing

Python Miscellaneous

Python Practice

Python Programs

How to Apply Bayes' Theorem in Python

By IncludeHelp Last updated : November 26, 2023

Problem statement

Given the values pA, pB, and pBA. You have to write a Python program to apply Bayes' theorem.

What is Bayes' Theorem?

Bayes' Theorem states that for any two events A and B. The probability of occurrence of event A given that event B has occurred.

P(A|B) = P(A)*P(B|A)/P(B)

Where,

  • P(A|B) is the probability of occurrence of event A, given that event B has occurred.
  • P(B|A) is the probability of occurrence of event B, given that event A has occurred.
  • P(A) is the probability of occurrence of event A.
  • P(B) is the probability of occurrence of event B.

Example: Applying Bayes' Theorem in Python

# Python program to apply Baye's theorem
pA = 0.2
pB = 0.4
pBA = 0.85
 
print("The probability of occurrence of A ", pA)
print("The probability of occurrence of B ", pB)
print("The probability of occurrence of B given A has occurred ", pBA)
 
pAB = pA * pBA / pB
print("The probability of occurrence of A given B has occurred ", pAB)

Output

The output of the above program is:

The probability of occurrence of A  0.2
The probability of occurrence of B  0.4
The probability of occurrence of B given A has occurred  0.85
The probability of occurrence of A given B has occurred  0.425

Python NumPy Programs »

Advertisement
Advertisement

Comments and Discussions!

Load comments ↻


Advertisement
Advertisement
Advertisement

Copyright © 2025 www.includehelp.com. All rights reserved.