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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).
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 validity of the theoretical model predictions was evaluated by comparison with experimental results obtained with a cochlear implant.
Accuracy of the predictions was evaluated by the coefficient of determination (R2) and the root mean square error (RMSE) between the measured and predicted parameter values.
The quality of the predictions was evaluated using six measures; Matthews correlation coefficient [42] (MCC), QTotal, Predicted Positive Value (PPV), sensitivity, specificity and Area under the Receiver Operating Curve [43] (AUC).
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As for the simplex projection, the accuracy of predictions is evaluated by the correlation coefficient between the predicted and the observed series.
The predicted concentrations of 5-HMF obtained by MCR-ALS and PLS versus HPLC predictions were evaluated.
Predictions are evaluated against press-formed components.
The predictions are evaluated against experimental results.
All predictions are evaluated by using the cost function g1.
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