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We then tested the model using a cross-validation schema as described above.
The second step of the validation consisted of a standard cross-validation schema by which a random 4/5 of the cancer genes comprised the training sample used to build the GBA to be tested against the remaining 1/5 of the cancer genes (testing sample).
A leave-one-run-out cross-validation scheme was used.
Open image in new window Fig. 1 Illustration of the validation schema, using outer Monte Carlo cross-validation (MCCV).
What's cross validation?
Training vs. test sets and cross validation.
Westerhuis, J. A. et al. Assessment of PLSDA cross validation.
Zhang, P. Model Selection Via Multifold Cross Validation.
cross validation.
Fig. 7 Cross validation.
Nfold cross validation meta node.
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