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  2. Evaluate the model with the testing data, report the accuracy; compute and print the predicted decision for every input of the testing data (approved or denied) alongside with the real labels.

Evaluate the model with the testing data, report the accuracy; compute and print the predicted decision for every input of the testing data (approved or denied) alongside with the real labels.

Posted by:Shadrack Posted on:Apr 22,2023
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Implement a Neural Network using Pytorch Credit Card Approval. On one of the first lectures, a credit card approval record with multiple predictors
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