Summary
The issue arises when using the performance::compare_performance() function in R to compare the performance of multiple models stored in a list. Key issue: the model names are replaced by generic names (e.g., “Model 1”, “Model 2”, etc.) instead of their original names. This occurs because the compare_performance() function does not properly handle the model names when the models are passed as a list.
Root Cause
The root cause of this issue is the implicit list embedding of S4 objects, which is deprecated. This means that when we pass a list of models to the compare_performance() function, it does not correctly retrieve the model names, resulting in the generic names being used instead.
Why This Happens in Real Systems
This issue can occur in real-world systems when:
- Working with large datasets and multiple models
- Using lists to store and manage models
- Relying on automated workflows and pipelines
- Lack of awareness about the deprecated behavior of implicit list embedding of S4 objects
Real-World Impact
The impact of this issue includes:
- Loss of model identifiability: making it difficult to track and compare the performance of specific models
- Inconsistent output: leading to confusion and errors in interpretation and decision-making
- Deprecation warnings: indicating that the code may break in future versions of R or the
performancepackage
Example or Code
To reproduce the issue, we can use the following code:
data(iris)
library(performance)
lm1 <- lm(Sepal.Length ~ Species, data = iris)
lm2 <- lm(Sepal.Length ~ Species + Petal.Length, data = iris)
lm3 <- lm(Sepal.Length ~ Species * Petal.Length, data = iris)
compare_performance(lm1, lm2, lm3)
modx3lm <- list(lm1, lm2, lm3)
compare_performance(modx3lm)
How Senior Engineers Fix It
To fix this issue, senior engineers can use the following approaches:
- Use the
nameargument: specify the model names explicitly using thenameargument in thecompare_performance()function - Use a character vector: pass a character vector of model names to the
compare_performance()function - Update the
performancepackage: ensure that theperformancepackage is up-to-date, as newer versions may address this issue
Why Juniors Miss It
Juniors may miss this issue due to:
- Lack of experience: limited exposure to working with lists and S4 objects in R
- Insufficient knowledge: unaware of the deprecated behavior of implicit list embedding of S4 objects
- Overreliance on autopilot: not carefully reviewing the output and warnings generated by the code