1. Learn
  2. /
  3. Courses
  4. /
  5. Monitoring Machine Learning in Python

Connected

Exercise

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.

Instructions 1/2

undefined XP
    1
    2
  • Initialize AlertCountRanker without any initial parameters.
  • Call .rank() method and pass the filtered uv_results for Wasserstein and L-infinity methods.