Classifying Email as Spam or Non-Spam

This table contains data on various word and character frequencies in emails, with the goal of classifying them as spam or non-spam. It has 4601 rows and 58 columns, providing valuable information for analyzing and developing algorithms to identify spam emails. (AI-generated)

word_freq_make, word_freq_address, word_freq_all, word_freq_3d, word_freq_our, word_freq_over, word_freq_remove, word_freq_internet, word_freq_order, word_freq_mail, word_freq_receive, word_freq_will, word_freq_people, word_freq_report, word_freq_addresses, word_freq_free, word_freq_business, word_freq_email, word_freq_you, word_freq_credit, ...