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.
Diese Übung ist Teil des Kurses
<Kurs>Monitoring Machine Learning in Python</Kurs>Interaktive praktische Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Initialize the alert count ranker
alert_count_ranker = ____.____
alert_count_ranked_features = alert_count_ranker.____(
____.filter(____=[____, ____]))
display(alert_count_ranked_features)