P value calculation for stacked LSTM model for binary classification

I need to calculate the P-value for a stacked LSTM model. Does that mean that I need to run the model multiple times and consider the null hypothesis that the model's accuracy is almost the same across the multiple runs? if not can you please help me with how to do it correctly?

Topic pvalue classification time-series

Category Data Science

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