Skip to content

AdilKh4n/ML-Identifying-phishing-website

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ML-Identifying-phishing-website

Aim: The aim of this project is to identify whether a website is a phishing website or a legitimate website.

Dataset: The dataset which we are gonna use for this task is Phishing Websites Data Set. [Link: https://archive.ics.uci.edu/ml/datasets/phishing+websites#] It has 30 features & 11056 observations. Here is a short description for each feature in the data set:

Results:

  1. Achieved AUC & Accuracy score of 0.95 using full feature SVM.

  2. Achieved AUC score of 0.99 using VotingClassifiers.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages