arboleje1


Simulated example about predicting a  bank's decision to give a loan to
customer for buying a car. The feature "Marital Status" has been codified using
three dummy variables.

datasets

Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.

Edgar Acuna

dprep

Data Pre-Processing and Visualization Functions for
Classification

arboleje1 function

A data frame with 25 observations on the following 9 variables.
  <dl>
    <dt><code>Sexo</code></dt><dd>a factor with levels <code>Hombre</code> <code>Mujer</code></dd> <dt><code>Familia</code></dt><dd>a numeric vector</dd> <dt><code>CasaPropia</code></dt><dd>a factor with levels <code>No</code> <code>Si</code></dd> <dt><code>AnosEmpleo</code></dt><dd>a numeric vector</dd> <dt><code>Sueldo</code></dt><dd>a numeric vector</dd> <dt><code>Prestamo</code></dt><dd>a factor with levels <code>No</code> <code>Si</code></dd> <dt><code>x31</code></dt><dd>a numeric vector</dd> <dt><code>x32</code></dt><dd>a numeric vector</dd> <dt><code>x33</code></dt><dd>a numeric vector</dd> </dl> 

arboleje1: Predicting a bank's decision to give a loan for buying a car.

Description

Usage

Arguments

Format

Source

Examples