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Answer: Learning Rate, Number of learning iterations
The correct answers are B (Learning Rate) and D (Number of learning iterations). This is supported by multiple high-upvote comments (e.g., parimrt with 59 upvotes, lucazav with 8 upvotes) and community consensus (80% BD). In Azure ML Studio's Two-Class Neural Network module, these are the only two parameters that can be set to a range using the Range Builder when 'Parameter Range' is selected in 'Create Trainer Mode', making them tunable by the Tune Model Hyperparameters module. Learning rate controls step size during gradient descent, and number of iterations determines training duration. Options A (Number of hidden nodes) and E (Hidden layer specification) are structural hyperparameters but are not configurable via range in this specific module's implementation. Option C (The type of the normalizer) is a preprocessing step, not a tunable hyperparameter for the neural network itself.
Author: LeetQuiz Editorial Team
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You are building a binary classification model using the Two-Class Neural Network module in Azure Machine Learning Studio. To tune the model's accuracy, you use the Tune Model Hyperparameters module.
Which two values must you configure? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A
Number of hidden nodes
B
Learning Rate
C
The type of the normalizer
D
Number of learning iterations
E
Hidden layer specification
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