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Test Set - Should training or test set be bigger?
Answer
It is critical to ensure that the training set is not too small, since this might impede the model's ability to learn from the data. On the other side, inaccurate model tuning may result from low precision, recall, accuracy, and F1 score due to a small validation set.
