There are more than 14000 URLs combining the training set and testing set with 88 independent variables. Some of the features are listed below:

To load the training data in your jupyter notebook, use the below command:

import pandas as pd

phishing_data = pd.read_csv("https://raw.githubusercontent.com/dphi-official/Datasets/master/phishing_data/Training_set_label.csv" )

You can find more details on how to save a prediction file here: https://discuss.dphi.tech/t/how-to-submit-predictions/548

Sample submission: You should submit a CSV file with a header row and the sample submission can be found below.

prediction

legitimate

legitimate

phishing

phishing

legitimate

Etc.

Load the test data (name it as test_data). You can load the data using the below command.

test_data = pd.read_csv('https://raw.githubusercontent.com/dphi-official/Datasets/master/phishing_data/Testing_set_label.csv')

Here the target column is deliberately not there as you need to predict it

This dataset is downloaded from Mendeley data.

Hannousse, Abdelhakim; Yahiouche, Salima (2020), “Web page phishing detection”, Mendeley Data, V2, doi: 10.17632/c2gw7fy2j4.2

Data Sprint #12: Web Page Phishing Detection