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23 Internal evaluation, based on goodness-of-fit plots and simulation-based diagnostics, demonstrated the good predictive ability of the model for the kinetics of PSA and CTC count.
Good correlation between experimentally obtained data and ones predicted by using QSRR-ANN on previously unseen data sets indicates good predictive ability of the model.
Finally, good predictive ability of the suggested models was proved with five additional verification experiments.
Predictive R2 for the test set was 0.77, indicating good predictive ability of the model.
Using bootstrap validation, the optimism-corrected ROC AUC was 0.73 [0.65–0.82], which represents a good predictive ability of the model in future patients [18].
Like with all other dynamic parameters, a good predictive ability of FR necessitates a tidal volume of at least 7 ml/kg and will be reduced when lower tidal volumes are employed.
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The final QSAR model containing 18 descriptors shows good predictive ability for the training set of 36 complexes (R2 = 0.913, Q2 = 0.873) and test set of 16 complexes (Rt2 = 0.971).
This parameter also showed a good predictive ability for process upsets in the case of the over-acidified AD plant described in this paper, as is also shown in Table 3.
However, the BPNN-based model showed good predictive ability for performance variables as seen from the closeness of the fit between the experimental and predicted observations.
Model results showed good predictive ability for in situ spectra with RMSE, bias, and R2 of 88 g kg− 1, − 15 g kg− 1, and 0.76, respectively.
The model gave high correlation coefficients of 0.97 and 0.84 for the training set and the test set, respectively, showing its good predictive ability for biological activity.
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