You are working on a project that requires tracking and comparing multiple experiments with different hyperparameters. Explain how you would use MLflow Tags to organize and compare these experiments, and discuss the advantages of using tags for experiment tracking.

Simulated

Use MLflow Tags to store the hyperparameter values as key-value pairs and filter the runs based on the desired hyperparameters.

64.1%

Manually create a spreadsheet to record the hyperparameter values and compare the runs based on the spreadsheet.

0.0%

Use the MLflow UI to create a custom column for each hyperparameter and display the values in the runs table.

5.1%

Use the MLflow Client API to programmatically log the hyperparameter values and compare the runs based on the logged data.

30.8%

Databricks Certified Machine Learning - Associate