icqcu2022-04-20 14:14:04

The dataset is typically divided into three non- overlapping samples: (1) training sample used to train the model, (2) validation sample for validating and tuning the model, and (3) test sample for testing the model’s ability to predict well on new data. The training and validation samples are often referred to as being “in- sample, ” and the test sample is commonly referred to as being “out- of- sample. ”。 原版书说tranning 和 validation sample 都是in sample的 我们的讲义和老师说的是 validation 是out sample的