# Decision Trees — Data

来源：https://www.kaggle.com/competitions/decisiontrees/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<h2>File descriptions</h2>
<ul>
<li><strong>training.csv</strong> - the training set</li>
<li><strong>testing.csv</strong> - the test set</li>
<li><strong>sample.csv</strong> - a sample submission file in the correct format</li>
</ul>
<h2>Data fields</h2>
<ul>
<li><strong>1. Clump Thickness 1 - 10</strong> </li>
<li><strong>2. Uniformity of Cell Size 1 - 10</strong> </li>
<li><strong>3. Uniformity of Cell Shape</strong> </li>
<li><strong>4. Marginal Adhesion 1 - 10</strong> </li>
<li><strong>5. Single Epithelial Cell SIze 1 - 10</strong> </li>
<li><strong>6. Bare Nuclei 1 - 10</strong> </li>
<li><strong>7. Bland Chromatin 1 - 10</strong> </li>
<li><strong>8. Normal Nucleoli 1 - 10</strong> </li>
<li><strong>9. Mitoses 1 - 10</strong> </li>
<li><strong>10. Class (0 for benign, 1 for malignant)</strong> </li>
</ul>
<h2>More info</h2>
<ul>
<p>Your submission should be your predictions of the testing data in order. Each line should have the id (line number, i.e. 1, 2, 3, ...) and the class (0 or 1). Look at the sample submission for clarification.</p>
</ul>