In RapidMiner, which operator keeps only the desired attributes?

Prepare for the Data Mining Test with our comprehensive quizzes. Practice with various question types, each with hints and explanations. Boost your understanding and ensure success on your exam!

Multiple Choice

In RapidMiner, which operator keeps only the desired attributes?

Explanation:
The task here is about choosing which features (attributes) to keep in your data. In RapidMiner, the operator that directly handles this is Select Attributes. It lets you specify a subset of attributes to retain (or to drop), effectively pruning the dataset to only the desired columns and reducing dimensionality. Conversely, Filter Examples deals with removing entire rows (instances) based on conditions, Sort toggles the order of rows, and Aggregate creates summary results by grouping rows and computing statistics. So for keeping only the chosen attributes, Select Attributes is the appropriate tool.

The task here is about choosing which features (attributes) to keep in your data. In RapidMiner, the operator that directly handles this is Select Attributes. It lets you specify a subset of attributes to retain (or to drop), effectively pruning the dataset to only the desired columns and reducing dimensionality. Conversely, Filter Examples deals with removing entire rows (instances) based on conditions, Sort toggles the order of rows, and Aggregate creates summary results by grouping rows and computing statistics. So for keeping only the chosen attributes, Select Attributes is the appropriate tool.

Subscribe

Get the latest from Passetra

You can unsubscribe at any time. Read our privacy policy