In 2000, Androutsopoulos et al. collected one of the first email spam datasets to benchmark spam-filtering algorithms. They studied how the Naive Bayes classifier can be used to detect spam, if additional pipes such as stop list, stemmer, and lemmatization contribute to better performance. The dataset was reorganized by Andrew Ng in OpenClassroom's machine-learning class, available for download at http://openclassroom.stanford.edu/MainFolder/DocumentPage.php?course=MachineLearning&doc=exercises/ex6/ex6.html.
Select and download the second option, ex6DataEmails.zip, as shown in the following screenshot:
The ZIP contains the ...
