QuestionQ40

ML – Neural Networks and Testing

A neural network has been designed and built to help day-traders improve efficiency when buying and selling commodities in a rapidly changing market. Suppose the test team performs a test on the neural network in which each neuron is examined. For this network, the shortest path indicates a buy and occurs only when the commodity’s one-day predicted value is greater than the spot price by 0.75%. The neurons are stimulated by entering commodity prices, and testers confirm that they activate only when the future value exceeds the spot price by at least 0.75%.

Which of the following statements BEST describes the type of coverage being tested on the neural network?

Explanation

Threshold coverage measures the proportion of neurons whose activation values exceed a specified threshold during testing. The defined 0.75% difference between the predicted future value and spot price is the specified activation threshold being checked for each neuron.

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