# DSBA-FML: Foundations of Machine Learning — Data

来源：https://www.kaggle.com/competitions/dsba-fml-foundations-of-machine-learning/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<h2>File descriptions</h2>
<ul>
<li><strong>train.csv</strong> - the training set</li>
<li><strong>test.csv</strong> - the test set</li>
<li><strong>sample_submission.csv</strong> - a sample submission file in the correct format</li>
<li><strong>skeleton_code.py</strong> - a skeleton python script to read train and test data and write output to the submission file.</li>
</ul>
<h2>Data fields</h2>
<ul>
<li><strong>Id</strong> - the id of the email</li>
<li><strong>date</strong> - date and time at which mail was received</li>
<li><strong>org</strong> - the organisation of the sender</li>
<li><strong>tld</strong> - top-level domain of the sender's organisation</li>
<li><strong>ccs</strong> - number of people cc'd in the email</li>
<li><strong>bcced</strong> - is the receiver bcc'd in the email</li>
<li><strong>mail_type</strong> - the type of the mail body</li>
<li><strong>images</strong> - number of images in the mail body</li>
<li><strong>urls</strong> - number of urls in the mail body</li>
<li><strong>salutations</strong> - is salutation used in the email?</li>
<li><strong>designation</strong> - is designation of the sender mentioned in the email?</li>
<li><strong>chars_in_subject</strong> - number of characters in the email's subject</li>
<li><strong>chars_in_body</strong> - number of characters in the email's body</li>
<li><strong>label</strong> - the label of the email</li>
</ul>