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Following this, the researchers implemented a composition-based cross-validation method.

“Some of the strengths of machine learning are that you can do things like cross-validation,” LaConte says.

“It is from a top research team. It is a decently large sample size. And most important, they are correlating their results to PET and CSF. That cross-validation to other techniques is great to see—we haven’t seen this before for a blood test in Alzheimer’s.”

Efron, B. & Gong, G. A leisurely look at the bootstrap, the jackknife, and cross-validation.

Five repeats of tenfold cross-validation were used to evaluate the classification accuracy.