Glance at the fit of your models

In this exercise you will use glance() to calculate how well the linear models fit the data for each country.

Diese Übung ist Teil des Kurses

Machine Learning in the Tidyverse

Anleitung zur Übung

Append a column (fit) containing the fit statistics for each model to the gap_models data frame and save it as model_perf_nested.
Simplify this data frame using unnest() to extract these fit statistics of each model and save it as model_perf.
Finally, use head() to take a peek at model_perf.

Interaktive Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

# Extract the fit statistics of each model into data frames
model_perf_nested <- gap_models %>% 
    mutate(fit = map(model, ~___(.x)))

# Simplify the fit data frames for each model    
model_perf <- model_perf_nested %>% 
    unnest(___)
    
# Look at the first six rows of model_perf
head(___)

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