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The best testing accuracy is obtained by applying NMSC to the SRFA feature selection, NMSC-MSC.
Among these highest training feature sets, the one having the best testing accuracy is called the optimal feature set, which is highly complicated to characterize when a sample size is small.
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The model with the highest testing accuracy is selected as the best model.
All the best prediction results, evaluated by using AUC, MCC and testing accuracy, are obtained by using RFA methods.
The testing accuracy was 54.95%.
In Figure 5, the best overall test accuracy was achieved using all available data from EXP array and copy number variability through to clinical measures and ER-status.
A well-designed study of test accuracy is required to determine the best investigation for diagnosis of uterine anomaly.
Finally, the best testing accuracy and filtered e-mails are reported.
We also compared the best testing accuracy with the use of the classification models derived from the best training.
Test accuracy was best with the maximal procedure used with a maximum tolerated imbalance (MTI) = 2 as the randomisation method at alpha 1%.
Of the tested ML-based methods, the best average accuracy is achieved for kNN, with k=5.
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