Which splitting mode should you use?

You are with a time series dataset in Azure Machine Learning Studio.

You need to split your dataset into training and testing subsets by using the Split Data module.

Which splitting mode should you use?
A . Recommender Split
B . Regular Expression Split
C . Relative Expression Split
D . Split Rows with the Randomized split parameter set to true

View Answer

Answer: D

Explanation:

Split Rows: Use this option if you just want to divide the data into two parts. You can specify the percentage of data to put in each split, but by default, the data is divided 50-50.

Incorrect Answers:

B: Regular Expression Split: Choose this option when you want to divide your dataset by testing a single column for a value.

C: Relative Expression Split: Use this option whenever you want to apply a condition to a number column.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data