Ranking the univariate results
In the previous exercises, you ended up with eight plots. In this exercise your task is to rank them based on the number of the alerts and the correlation with the ROC AUC performance.
The univariate results are pre-loaded and stored in uv_results variable, and performance results are stored in perf_results variable.
This exercise is part of the course
Monitoring Machine Learning in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Initialize the alert count ranker
alert_count_ranker = ____.____
alert_count_ranked_features = alert_count_ranker.____(
____.filter(____=[____, ____]))
display(alert_count_ranked_features)