# Fall 2018 BAN 7002 — Data

来源：https://www.kaggle.com/competitions/2018fallban7002/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<p>
You are given a three datasets with “train”, “test” and “score”.  your job is to train a model to predict wine quality 
(0 = lowest quality, 10 = highest quality) using the “train” data set. You’ll evaluate it against the “test” data set and apply (aka score) it to the score data set .  **.</p>

<h2>File descriptions</h2>
<ul>
<li><strong>train.csv</strong> - the training set use this to build your regression model with</li>
<li><strong>test.csv</strong> - the test set use this to evaluate your regression model</li>
<li><strong>scorecsv</strong> - the data set used to score your regression model</li>
<li><strong>sampleSubmission.csv</strong> - a sample submission file in the correct format just two columns: id, quality</li>
</ul>
<h2>Data fields</h2>
<ul>

<li><strong>type </strong> - type of wine (red or white)</li>
<li><strong>part</strong> - partition TRAIN, TEST, or SCORE</li>
<li><strong>id</strong> - id of the wine </li>
<li><strong>white_flag </strong> - flag 1 = white, 0 = red </li>
<li><strong>red_flag </strong> - flag 1 = red, 0 = white </li>
<li><strong>fixed_acidity </strong></li>
<li><strong>volatile_acidity</strong></li>
<li><strong>citric_acid</strong></li>
<li><strong>residual_sugar</strong></li>
<li><strong>chlorides</strong></li>
<li><strong>free_sulfur_dioxide</strong></li>
<li><strong>total_sulfur_dioxide</strong></li>
<li><strong>density</strong></li>
<li><strong>pH</strong></li>
<li><strong>sulphates</strong></li>
<li><strong>alcohol</strong></li>
<li><strong>quality</strong> - this is your regression target !</li>

</ul>