Using a large amount of data, such as 30 years of daily data, in a machine learning model like LSTM can reduce the model predictivity?

23 July 2024 0 668 Report

I have used 30 years of daily data, but the model is not able to optimize, getting just 0.57 in NSE and R2. when I reduced the data to 20 years in daily time frame I got 0.73 in NSE, R2 for both training and testing. Is there any logic behind that?

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