From the code snippet for a GridSearchCV based cross-validation for multilayer perceptron (MLP) hyper-parameters, choose all the correct answers (assuming that the number of independent variables/features could be a large number (e.g., 100), and the number of instances are relatively small (e.g., 500)).

Question

Answer

The range of the number of hidden layers was not sufficiently/adequately cross-validated.

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Not Answering

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For each hyper-parameter CV, everything is sufficient/adequate, in terms of the ranges of the number of hidden layers and the number of neurons per each hidden layer.

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The cv = 3  can not be used, but always cv = 10 should be used.

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The range of the number of neurons for the corresponding hidden layer was not sufficiently/adequately cross-validated.

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From the code snippet for a GridSearchCV based cross-validation for multilayer p...

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