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…

The correct answer is B. Split Rows with the Randomized split parameter set to true. NOTE: This answer is technically problematic for time series data. The Split Rows mode with Randomized split set to TRUE would shuffle the data, destroying temporal order and causing data leakage - future values could end up in the training set. For genuine time series…

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Question

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?

Options

ARegular Expression Split
BSplit Rows with the Randomized split parameter set to true
CRelative Expression Split
DRecommender Split

How the community answered

(22 responses)

B
91% (20)
C
5% (1)
D
5% (1)

Explanation

NOTE: This answer is technically problematic for time series data. The Split Rows mode with Randomized split set to TRUE would shuffle the data, destroying temporal order and causing data leakage - future values could end up in the training set. For genuine time series splitting, you should use Split Rows with Randomized set to FALSE to preserve chronological sequence. The other options are irrelevant: Regular Expression Split (A) filters by text patterns, Relative Expression Split (C) splits on column value conditions, and Recommender Split (D) is for collaborative filtering datasets. If this is the given exam answer, it likely reflects a poorly constructed question.

Topics

#Azure Machine Learning#Data Splitting#Time Series#Split Data Module

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