titanic

Data indicating who survived on the Titanic.

datasets

Create, visualize, and test fast-and-frugal decision trees (FFTs) using the algorithms and methods described in Phillips, Neth, Woike & Gaissmaier (2017).
FFTs are simple and transparent decision trees for solving binary classification problems.
FFTs can be preferable to more complex algorithms because they require very little information, are easy to communicate, and are robust against overfitting.

Hansjoerg Neth

FFTrees

Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees

Nathaniel Phillips

Jan Woike

Wolfgang Gaissmaier

titanic function

A data frame containing 2,201 rows and 4 columns.
<dl>
 <dt>class</dt>
<dd>Factor - Class (first, second, third, or crew)</dd> <dt>age</dt>
<dd>Factor - Age group (child or adult)</dd> <dt>sex</dt>
<dd>Factor - Sex (male or female)</dd> <dt>survived</dt>
<dd>Factor - Whether the passenger survived (1) or not (0)</dd>
 ...</dl>

Format

Titanic survival data — titanic

A data frame containing 2,201 rows and 4 columns.
<dl>
 <dt>class</dt>
<dd>Factor - Class (first, second, third, or crew)</dd>

 <dt>age</dt>
<dd>Factor - Age group (child or adult)</dd>

 <dt>sex</dt>
<dd>Factor - Sex (male or female)</dd>

 <dt>survived</dt>
<dd>Factor - Whether the passenger survived (1) or not (0)</dd>


 ...

</dl>

titanic: Titanic survival data

Description

Usage

Arguments

Format

Details

References

See Also