What is the process of evaluating the performance of a trained perceptron on unseen data called?Select one:a.Pruningb.Validationc.Trainingd.Testing

Answer

The process of evaluating the performance of a trained perceptron on unseen data is called:

d. Testing

Explanation

1. Pruning refers to the reduction of a neural network by removing unnecessary weights or neurons to improve efficiency without sacrificing accuracy, but it is not related to performance evaluation on unseen data.
2. Validation is the process where a model is tested on a validation dataset during training to tune the hyperparameters, but it does not pertain to unseen data post-training evaluation.
3. Training is the initial phase where the model learns from a training dataset by adjusting its weights based on the input data.

In summary, testing is specifically designed to measure how well the model performs when it encounters data that it has not seen before, making it the correct answer.