Technical Deep Dive, Forecasting, Data Science, Model Validation, Evaluation Metric.
calculation. As in any model evaluation, a division between a training set and a test set is essential. It is common to make split into 80% of train data and 20% of test data. Example of train/test data split However, the conventional approach used for testing the quality of machine learning models