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A machine learning engineer is in the process of building a model for classifying fraudulent transactions. They are using a neural network and need to decide how many nodes and layers to use in the model. They are experimenting with several different combinations of number of nodes and number of layers. What data should they use to evaluate the quality of models being developed with each combination of settings?

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A machine learning engineer is in the process of building a model for classifying fraudulent transactions. They are using a neural network and need to decide how many nodes and layers to use in the model. They are experimenting with several different combinations of number of nodes and number of layers. What data should they use to evaluate the quality of models being developed with each combination of settings?






 
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