Читать книгу Cognitive Engineering for Next Generation Computing - Группа авторов - Страница 37

Model evaluation is done by a metric or combination of metrics and measures the performance of the model. The performance of the model is tested against previously unknown data. This unknown data may be from the real world and used to measure the performance and helps in tuning the model. Generally, the train and the split ratio is 80/20 or 70/30 depending on the data availability.