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A function used to quantify the difference between observed data and predicted values according to a model. Minimization of loss functions is a way to estimate the parameters of the model.

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What degree of difference does validation and training loss need to have to be called good fit?

I am conducting a multi-variate time series forecasting using an LSTM model. The model architecture and other details are given below: Dataset split: (80/10/10 split) Training Data Points: 367640 Vali …
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