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Validation test also demonstrated stable results under the optimal conditions.
The prediction models have also been validated by cross validation test.
The accuracy of the established ANN was validated by an internal validation test as well as an external validation test.
Then, in order to validate the proposed algorithm, we applied a 5-fold cross validation test.
Here we present the results of our validation test.
Fig. 11 Validation test for homomorphic filtering output.
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Each of the models was validated with a 10-fold cross-validation test.
The discriminatory 28-gene profile was validated using a leave-one-out cross-validation test.
Four-fold cross-validation test results.
Fig. 10 Performance of eSynth in the cross-validation test.
In Table 3, a cross-validation test is depicted.
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