Question

Which of the following is false about Train Data and Test Data in Azure ML Studio _________?
1)Cross validation data is taken from train data
2)Train and test data are used to Score the Model
3)Train and test data random split is reproducible
4)Train data and test data split should follow a thumb rile of 80:20

Answer 1

Answer:

Option 1)

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Answer 2

Cross-validation data is taken from train data is a false statement.

Explanation:

• In Azure ML studio, the testing, building, and analysis off solution of a data is done. It is a machine learning tool. The process of cross-validation in the machine learning system is used to evaluate limited data available in the system. It tests the skill of the tool.
• It performs its estimation on the basis of unknown data. It doesn't take its data from the training dataset. It is performed before building a model just to have an overview of the performance expected from the model.

Learn more about cross validation

For an overfit data set the cross validation error will be much bigger than the training error.

https://brainly.in/question/7043071

Which type of cross validation is used for imbalanced dataset?

https://brainly.in/question/4446870