Sentence examples similar to training test dataset from inspiring English sources

We measured prediction accuracy for each pair of 30 training-testing datasets and for a total of 30 predictions (Table 6).

Leave-one-complex-out validation is performed by removing all training examples of a PPI complex from the training set and then using these examples as a test set resulting in 39 unique train-test datasets.

In order to test the stability of our method, we have implemented three evaluation strategies: self-consistency test, where training dataset was used as both training and test dataset, 10-fold cross-validation, and 5-fold cross-validation.

Uniformity in the training and test dataset was shown to be important in deriving PTFs.

With the increasing size of the training and test dataset we could observe no tendency of a decreasing prediction error.

Comparison between the training and test dataset.

This is repeated for each of the five training and test dataset pairs, DB_MF, DB_PF, DB_CF, DB_CRYS and DB_4CL.

For both training and test dataset, missing values are filled using the average value of that gene.

The misclassification rates of both the training and test dataset were calculated to determine an optimal number of PCs [ 47].

No significant unbalances were found in the train and test dataset, which suggested the prediction models were credible and stable.

These features are scaled using the ranges of the positive training data for both the training and test datasets and then fed to an SVM classifier.