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Overall prediction success was 74.9%, with the model correctly predicting 69.5% of SAHs and 79.5% of MAHs.
An overall prediction success rate of 85% appears promising.
Withholding the data lowered the overall prediction base (the equivalent of at-bats in baseball), thereby inflating the success rate.
The overall prediction of helicopter noise is, however, still relatively poor.
Each of these algorithms has a weight factor showing its contribution in overall prediction.
The overall prediction accuracy based on a 30% hold-back validation data reached 70%.
Both the k-NN and SVM model give the best overall prediction accuracy (98.45%).
The overall prediction accuracy in the three study areas varied between 35% and 60%.
The overall prediction accuracy evaluated by the 10-fold cross-validation reached 90.7%.
Indeed, his overall prediction of a capitalist boom and a society where power in the US follows the money is bang-on.
The overall prediction error is about 1% compared with the measured GMI values.
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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