The model started with a high error (2449.76) and gradually reduced it to 1728.74 over 100 iterations.
That means the model was learning and improving during training
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In this code, I converted the neural network's RMSE and MAE from scaled values back to actual dollar amounts using the mean and standard deviation of the original price data. The result showed that, on average, the predictions were off by about $10,124 (RMSE) and $7,527 (MAE).
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