Sentence examples similar to training test data from inspiring English sources

where μ∗ is the vector of test means, Σ∗ the covariance for training-test data points and Σ∗∗ the covariance for test data points.

LOOCV is specially recommended in data sets of limited size, providing an almost unbiased estimator and identifying the same best classifiers as other X-fold training-test data partitions [ 38, 39].

Since the sample size is far smaller than the feature dimension in a typical HTS gene expression experiment, the conventional training-test data partition of 70 30 % (also known as holdout validation) is not very appropriate for the evaluation of gene selection approaches.

For each rSD value 50 training-testing data sets were generated.

We repeated the process with 10 random sets of training-testing data, and reported their average area of the receiver operator characteristics (AUC).

Sequence similarity data was creating using all-against-all BLAST comparisons within the training and test data sets, and between the training and test data sets and the use case data sets (redundant alignments were excluded).

Feature averages obtained on the training data were used to impute both training and test data.

The training and test data is obtained from measurement.

Figure 8 Projection results of training and test data.

Experimental studies were completed to obtain training and test data.

The predicted load ranges agree well with measured values for both training and test data.