# Allianz conversion rate prediction — Data

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

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<p>This dataset represents the activity of a large number of customers who are interested in buying policies from Allianz. Each Each observation corresponds to a potential customer and the feature NEWBUS indicates whether the customer purchased a policy.</p>

<p>  The new datasets is taking into account the fact that few factors were self explanatory and were then suppressed </p>

<p>The provided dataset is SAF2 and provide a rich representation of the prospective customer and policy. They include specific coverage information, personal information, property information, and geographic information. Your task is to predict NEWBUS for each Quote in the test set.</p>
<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>
</ul>

<h2>Data location</h2>
<p>Data are available in the following folder : N:\Resources\Data Science\Kaggle\Conversion_NEW_VERSION </p>

<h2>Data fields</h2>
<ul>
<li><strong>UNIQUE_ID</strong> - an anonymous id unique to a given customer</li>
<li><strong>CLUSTER_[CTS/BLD]_</strong> - geographical clusters of classifier per product per risk</li>
<li><strong>QUOTE_PREMIUM</strong> - the quote premium</li>
<li><strong>START_DATE</strong> - Inception date</li>
<li><strong>DIST2</strong> - Distribution channel</li>
<li><strong>CONS_TYPE_DESC</strong> - Construction type</li>
<li><strong>ROOF_TYPE_DESC</strong> - Roof type</li>
<li><strong>OCC_TYPE</strong> - Occupancy type</li>
<li><strong>H_BUILDING_SUMINSURED</strong> - Building sum insured</li>
<li><strong>TOT_SUM_INS</strong> - Total sum insured at policy level</li>
<li><strong>YEAR_CONS</strong> - Building year of construction</li>
<li><strong>GEO_[...]</strong> - Geographical census information</li>
<li><strong>AGE_OWN</strong> - Owner's age</li>
<li><strong>ICA_ZONE</strong> - Geographical zones of Australia used in weather modelling. Equivalent to Cresta zones </li>
<li><strong>AFFORDABILITY</strong> - ratio between premium and average income per geographical zone</li>

</ul>