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The final predictions are evaluated by the golden standard evaluation script provided by the BioNLP'09 ST organizers, which provides precision, recall and F-measure for each event type individually, while also calculating global performance over all event types together.

The predictions are evaluated based on the distance between the predicted site and the actual position of the ligand, i.e., a prediction is assumed correct if the distance is smaller than a cut-off threshold value, which is varied between 1 and 10Å.

Predictions are evaluated against press-formed components.

The predictions are evaluated against experimental results.

All predictions are evaluated by using the cost function g1.

All predictions are evaluated using the cost function g2.

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Calibration of the nomogram predictions was evaluated by comparing the predicted probability at 5 years with the Kaplan Meier survival probability using the training data (internal calibration).

As an important criterion for model evaluation, the bias of the genomic predictions was evaluated (See Additional file 1: Tables S1, S2 and S3).

As for the simplex projection, the accuracy of predictions is evaluated by the correlation coefficient between the predicted and the observed series.

Considering that our IRES analysis included the same number of UTR sequences (99,759) and that 6,532 of them were predicted as containing IRESs, the false discovery rate of our predictions was evaluated to be 5%%.

The predicted concentrations of 5-HMF obtained by MCR-ALS and PLS versus HPLC predictions were evaluated.

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