You use Azure Machine Learning Studio to build a machine learning experiment.
You need to divide data into two distinct datasets.
Which module should you use?
You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples with Class B
The variation of Class B is very high.
You need to resolve imbalances.
Which method should you use?
You use Azure Machine Learning to train a machine learning model.
You use the following training script in Python to perform logging:
You must use a Python script to define a sweep job.
You need to provide the primary metric and goal you want hyperparameter tuning to optimize.
NOTE: Each correct selection is worth one point.
You are solving a classification task.
You must evaluate your model on a limited data sample by using k-fold cross validation. You start by
configuring a k parameter as the number of splits.
You need to configure the k parameter for the cross-validation.
Which value should you use?