arboleje


Simulated example about predicting a  bank's decision to give a loan to
customer for buying a car.

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

arboleje function

A data frame with 25 observations on the following 7 variables.
  <dl>
    <dt><code>Sexo</code></dt><dd>a factor indicaing the customer's gender with levels <code>Hombre</code> <code>Mujer</code></dd> <dt><code>Familia</code></dt><dd>a numeric vector indicating the number of members in the family</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 indicating the years of employment</dd> <dt><code>Sueldo</code></dt><dd>a numeric vector indicating the monthly salary</dd> <dt><code>StatusMarital</code></dt><dd>a factor with levels <code>Casado</code> <code>Divorciado</code> <code>Soltero</code> <code>Viudo</code></dd> <dt><code>Prestamo</code></dt><dd>a factor indicating the bank's with levels <code>No</code> <code>Si</code></dd> </dl> 

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

Description

Usage

Arguments

Format

Source

Examples