Neural network can perfectly predict held out data

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Question

Imagine the scenario in which a neural network can perfectly predict held out data. In other words, a neural network trained on 95% of the data, would always correctly guess the outcome of the 10% of data points it was not trained on. What factors would increase or decrease your confidence in deploying the network in real world scenarios?

Reference no: EM133234837

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