Hosmer-Lemeshow goodness-of-fit test
Check model quality of logistic regression models.
performance_hosmer(model, n_bins = 10)
model |
A |
n_bins |
Numeric, the number of bins to divide the data. |
A well-fitting model shows no significant difference between the model and the observed data, i.e. the reported p-value should be greater than 0.05.
An object of class hoslem_test with following values: chisq,
the Hosmer-Lemeshow chi-squared statistic; df, degrees of freedom
and p.value the p-value for the goodness-of-fit test.
Hosmer, D. W., & Lemeshow, S. (2000). Applied Logistic Regression. Hoboken, NJ, USA: John Wiley & Sons, Inc. doi: 10.1002/0471722146
model <- glm(vs ~ wt + mpg, data = mtcars, family = "binomial") performance_hosmer(model)
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