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Computing residuals, the difference between observation and the predicted values can provide one good index for evaluating the prediction ability of the models.
We compare the predicted results with the actual results for the holdout sample for evaluating the prediction accuracy with several statistical measures and find that mFPT performs best in these data mining methods in predicting protein localization.
This also helps in evaluating the prediction strength of the model.
The number of the enrolled patients was referred to similar studies evaluating the prediction ability of IJVV [17 19].
The spatial-level comparison is additionally conducted by evaluating the prediction accuracy at both room-level and house-level.
Since the subjective MOS itself has statistical uncertainty because of the abovementioned subjective factors, it is reasonable to allow certain prediction error (e.g., less than CI95) when evaluating the prediction accuracy of an objective model.
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We constructed different performance evaluation strategies to fully evaluate the prediction performance of our method.
In addition, it is difficult to evaluate the prediction accuracy because we have no evaluation formula for the variance of the predicted value.
What's more, with corporate clients in particular, there's always the potential problem of reflexivity, of the prediction itself influencing events and making it hard to evaluate the prediction's value.
In the study, we employed the following measures to evaluate the prediction performance of the Weighed-Extreme Learning Machine.
So as to evaluate the prediction ability of the developed models, several statistical indices were used.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com