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. 2020 Mar 19;93(1108):20190948. doi: 10.1259/bjr.20190948

Figure 5.

Figure 5.

An example of fivefold cross-validation which can be used to evaluate machine learning models. Cross-validation gives the ability to test the result across the entirety of a data set, giving a better estimation of a model’s overall performance.