German_Credit_Risk

This data set originally came from Professor Hofmann, and is available in several locations, including the UCI Machine Learning Repository
I cleaned the data set up, which included naming each of the columns, and removing white spaces from the names of the columns.
<dl>
The data set has 999 observations of 21 columns of data.The 21st column, "Class" is the target column in the data.
Acknowledgements
https://dutangc.github.io/CASdatasets/reference/credit.html<dt>Attribute1</dt>
<dd>Status of existing checking account</dd><dt>Attribute2</dt>
<dd>Duration (in months)</dd><dt>Attribute3</dt>
<dd>Credit history</dd><dt>Attribute4</dt>
<dd>Purpose</dd><dt>Attribute5</dt>
<dd>Credit amount</dd><dt>Attribute6</dt>
<dd>Savings accounts/bonds</dd><dt>Attribute7</dt>
<dd>Present employment since</dd><dt>Attribute8</dt>
<dd>Installment rate in percentage of disposable income</dd><dt>Attribute9</dt>
<dd>Personal status and sex</dd><dt>Attribute10</dt>
<dd>Other debtors / guarantors</dd><dt>Attribute11</dt>
<dd>Present residence since</dd><dt>Attribute12</dt>
<dd>Property</dd><dt>Attribute13</dt>
<dd>Age (in years)</dd><dt>Attribute14</dt>
<dd>Other installment plans</dd><dt>Attribute15</dt>
<dd>Housing</dd><dt>Attribute16</dt>
<dd>Number of existing credits at this bank</dd><dt>Attribute17</dt>
<dd>Job</dd><dt>Attribute18</dt>
<dd>Number of people being liable to provide maintenance for</dd><dt>Attribute19</dt>
<dd>Telephone</dd><dt>Attribute20</dt>
<dd>Foreign worker</dd><dt>Class</dt>
<dd>1 = Good, 0 = Bad</dd>
</dl>

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Operating Characteristic (ROC) curves for each of the 18 models.

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German_Credit_Risk function

An object of class <code>data.frame</code> with 999 rows and 21 columns.

Format

This data set originally came from Professor Hofmann, and is available in several locations, including the UCI Machine Learning Repository
I cleaned the data set up, which included naming each of the columns, and removing white spaces from the names of the columns.
<dl>
The data set has 999 observations of 21 columns of data.The 21st column, "Class" is the target column in the data.
Acknowledgements
https://dutangc.github.io/CASdatasets/reference/credit.html

<dt>Attribute1</dt>
<dd>Status of existing checking account</dd>

<dt>Attribute2</dt>
<dd>Duration (in months)</dd>

<dt>Attribute3</dt>
<dd>Credit history</dd>

<dt>Attribute4</dt>
<dd>Purpose</dd>

<dt>Attribute5</dt>
<dd>Credit amount</dd>

<dt>Attribute6</dt>
<dd>Savings accounts/bonds</dd>

<dt>Attribute7</dt>
<dd>Present employment since</dd>

<dt>Attribute8</dt>
<dd>Installment rate in percentage of disposable income</dd>

<dt>Attribute9</dt>
<dd>Personal status and sex</dd>

<dt>Attribute10</dt>
<dd>Other debtors / guarantors</dd>

<dt>Attribute11</dt>
<dd>Present residence since</dd>

<dt>Attribute12</dt>
<dd>Property</dd>

<dt>Attribute13</dt>
<dd>Age (in years)</dd>

<dt>Attribute14</dt>
<dd>Other installment plans</dd>

<dt>Attribute15</dt>
<dd>Housing</dd>

<dt>Attribute16</dt>
<dd>Number of existing credits at this bank</dd>

<dt>Attribute17</dt>
<dd>Job</dd>

<dt>Attribute18</dt>
<dd>Number of people being liable to provide maintenance for</dd>

<dt>Attribute19</dt>
<dd>Telephone</dd>

<dt>Attribute20</dt>
<dd>Foreign worker</dd>

<dt>Class</dt>
<dd>1 = Good, 0 = Bad</dd>


</dl>

German_Credit_Risk: German_Credit_Risk-This dataset classifies people described by a set of attributes as good or bad credit risks. #'

Description

Usage

Arguments

Format