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In PyBrain, ____ technique is used to assess how well a neural network performs by breaking the dataset into a number of subgroups and training the network on each subset separately

43. In PyBrain, ____ technique is used to assess how well a neural network performs by breaking the dataset into a number of subgroups and training the network on each subset separately.

1. Cross-validation
2. Normalization
3. Regularisation
4. Cross verificaion

Answer: A) Cross-validation

Explanation:

In PyBrain, a technique called cross-validation is used to assess how well a neural network performs by breaking the dataset into a number of subgroups and training the network on each subset separately.