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The performance of the models is compared to experimental results and found to perform reasonably well.
The performance of the models was strikingly similar.
The relative performance of the models is assessed.
Comparisons of the overall performance of the models are presented.
To evaluate the performance of the models, we reported precision, recall, F1-score, area under the ROC curve (AUC) and the precision-recall curve (PRC).
The performance of the models and their limitations is presented and discussed.
The performance of the models was assessed with five different accuracy measures.
Table 1 summarizes the performance of the models analyzed here.
The performance of the models was evaluated using MAE and RMSE.
This reflective non-absorbing background serves as a reference for assessing the performance of the models.
We also evaluated the performance of the models by regressing their AGBm against AGBp.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com