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?

The correct answer is C. Partition and Sample. The 'Partition and Sample' module in Azure Machine Learning Studio is specifically designed to divide a dataset into subsets. It supports splitting data into two distinct datasets by percentage, fixed count, or stratified sampling. 'Assign Data to Clusters' is used after…

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Question

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?

Options

AAssign Data to Clusters
BLoad Trained Model
CPartition and Sample
DTune Model-Hyperparameters

How the community answered

(29 responses)

A
3% (1)
C
93% (27)
D
3% (1)

Explanation

The 'Partition and Sample' module in Azure Machine Learning Studio is specifically designed to divide a dataset into subsets. It supports splitting data into two distinct datasets by percentage, fixed count, or stratified sampling. 'Assign Data to Clusters' is used after clustering to label data points. 'Load Trained Model' retrieves a saved model. 'Tune Model Hyperparameters' performs hyperparameter search - none of these split data into two separate datasets.

Topics

#Azure Machine Learning Studio#Data Splitting#Data Preparation#Partition and Sample module

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