The table "train_dataset.csv" contains 61 columns and over 6.7 million rows of data related to URLs, including various features such as URL length, entropy, and presence of sensitive words, which can be used for training machine learning models to classify URLs based on their characteristics. (AI-generated)
url, label, source, url_has_login, url_has_client, url_has_server, url_has_admin, url_has_ip, url_isshorted, url_len, url_entropy, url_hamming_1, url_hamming_00, url_hamming_10, url_hamming_01, url_hamming_11, url_2bentropy, url_3bentropy, url_count_dot, url_count_https, ...