Glossary
In-sample
During the model development process, data is divided into two sections. The in-sample data is used to develop the model, the out-of-sample data is used to verify that the model has detected patterns in the data that are predictable and tradable.
Out-of-sample
During the model development process, data is divided into two sections. The in-sample data is used to develop the model, the out-of-sample data is used to verify that the model has detected patterns in the data that are predictable and tradable. The best estimates of future performance of a system are obtained when the out-of-sample period follows the in-sample period.
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