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In the final prediction result, the maximum predicted seismic intensity rose from 5U to 6U (Fig. 8a-2), and the prediction score reached 100.0%.
In the final prediction result (Fig. 9b-6), the PLUM method predicted a seismic intensity of 7. Additionally, the strong motion generated by the M5.7 earthquake was also predicted.
Weight factor of each model indicates its contribution in the final prediction.
In the final prediction result, the prediction score of the PLUM method was 95.2%.
Fifty simulated shells generated by the Monte Carlo technique are employed in the final prediction of the critical buckling load.
A further improvement of this method is achieved by including the flat text model in the final prediction.
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Nonetheless, all factors were entered into the multivariable logistic regression models in deriving the final prediction models.
This filter (1) can also be used to roughly control the amount of contig multi-mapping allowed in the final predictions, since filter (2) removes contigs with any amount of multi-mapping.
These fusions are identified as candidates in Stage 1, but are not present in the final predictions due to our use of Barnacle's contig-to-genome multi-mapping filter (Stage 3).
Additionally, we provided a method to visualize how informative particular positions in the sequences are in terms of the final prediction.
In our implementation, the final prediction is a weighted sum of the two according to the training accuracy of the two local models.
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