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We divided the dataset into two parts: TRAINING and TEST set, such that chains in the training and test sets share low sequence similarity.

Training and test videotapes were generated.

MSE represents training and test sample mean squared errors.

There is no overlap between the training and test subsets.

The dataset is divided into training and test sets.

We randomly generated 10 training and test sets for evaluation.

The training and test data is obtained from measurement.

Figure 8 Projection results of training and test data.

They are used in both training and test.

Table 1 describes the development, training, and test datasets.

Some of these duplicates were between training and test sets.

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