Dynamic and Static Model Training: Maximizing Data Variability

When calculating the dynamic model, the model training process only takes into account dynamic data samples in order to capture the maximum variability in such samples. Similarly, when computing the static model, the model training process solely focuses on static data samples to ensure that the maximum variability in static data samples is captured.