Exercise - Find the best classification model with Azure Machine Learning
Determining the right algorithm and preprocessing transformations for model training can involve a lot of guesswork and experimentation.
In this exercise, you'll experiment to find the best classification model in three phases:
- Start by using automated machine learning to determine the optimal algorithm and preprocessing steps for a model by performing multiple training runs in parallel.
- Continue experimenting by training a classification model in an interactive notebook and track your work with MLflow.
- Compare performance metrics and evaluate the Responsible AI dashboard across your trained models to select the best model.
Instructions
Launch the exercise and follow the instructions.
