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Hello author, I would like to ask why the use of shorter time steps to predict the effect is worse? The article used 288 time steps, I changed it to 72 time steps, but the effect is worse. What is the reason for this?
The text was updated successfully, but these errors were encountered:
Hello. In our paper, we focus on predicting the next day's traffic conditions using the previous day's traffic data. The number of time steps varies with the dataset's sampling frequency. If you want to alter the settings, you must modify the corresponding sections of the code and retrain the model.
Hello author, I would like to ask why the use of shorter time steps to predict the effect is worse? The article used 288 time steps, I changed it to 72 time steps, but the effect is worse. What is the reason for this?
The text was updated successfully, but these errors were encountered: