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blorr (version 0.3.0)

blr_gini_index: Gini index

Description

Gini index is a measure of inequality and was developed to measure income inequality in labour market. In the predictive model, Gini Index is used for measuring discriminatory power.

Usage

blr_gini_index(model, data = NULL)

Arguments

model

An object of class glm.

data

A tibble or data.frame.

Value

Gini index.

References

Siddiqi N (2006): Credit Risk Scorecards: developing and implementing intelligent credit scoring. New Jersey, Wiley.

M<U+00FC>ller M, R<U+00F6>nz B (2000): Credit Scoring using Semiparametric Methods. In: Franke J, H<U+00E4>rdle W, Stahl G (Eds.): Measuring Risk in Complex Stochastic Systems. New York, Springer-Verlag.

https://doi.org/10.2753/REE1540-496X470605

See Also

Other model validation techniques: blr_confusion_matrix(), blr_decile_capture_rate(), blr_decile_lift_chart(), blr_gains_table(), blr_ks_chart(), blr_lorenz_curve(), blr_roc_curve(), blr_test_hosmer_lemeshow()

Examples

Run this code
# NOT RUN {
model <- glm(honcomp ~ female + read + science, data = hsb2,
family = binomial(link = 'logit'))

blr_gini_index(model)

# }

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