👉 Refalls are an error in a model's output that occurs when it is incorrectly predicted or misinterpreted by a machine learning algorithm. These errors can happen for various reasons such as incorrect input data, wrong parameter settings, or unexpected behavior of the model during training. Refalls can lead to inaccurate predictions and may require additional adjustments or corrections to the model. Refalls are typically detected through statistical tests, such as mean absolute error (MAE) or root mean squared error (RMSE), which measure
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