library(drake) library(dplyr) library(ggplot2)
readd(model_performance)
loadd(test_results) test_summary <- test_results %>% group_by(name) %>% summarize(mean_y = mean(y))
test_summary %>% ggplot(aes(x = name, y = mean_y)) + geom_col() + coord_flip()
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