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randomMachines (version 0.1.1)

bolsafam: Bolsa Família Dataset

Description

The 'bolsafam' dataset contains information about the utilization rate of the Bolsa Família program in Brazilian municipalities. The utilization rate \(y_{i}\) is defined as the number of people benefiting from the assistance divided by the total population of the city.

Usage

data(bolsafam)

Arguments

Format

A data frame with 5564 rows and 11 columns.

Details

This dataset includes the following columns:

y

Rate of use of the social assistance program by municipality.

COD_UF

Code to identify the Brazilian state to which the city belongs.

T_DENS

Percentage of the population living in households with a density greater than 2 people per bedroom.

TRABSC

Percentage of employed persons aged 18 or over who are employed without a formal contract.

PPOB

Proportion of people vulnerable to poverty.

T_NESTUDA_NTRAB_MMEIO

Percentage of people aged 15 to 24 who do not study or work and are vulnerable to poverty.

T_FUND15A17

Percentage of the population aged 15 to 17 with complete primary education.

RAZDEP

Dependency ratio.

T_ATRASO_0_BASICO

Percentage of the population aged 6 to 17 years attending basic education that does not have an age-grade delay.

T_AGUA

Percentage of the population living in households with running water.

REGIAO

Aggregation of states according to the regions defined by IBGE.

References

Mateus Maia & Anderson Ara (2023). rmachines: Random Machines: a package for a support vector ensemble based on random kernel space. R package version 0.1.0.

Examples

Run this code
    data(bolsafam)
    head(bolsafam)

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