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Figures 2 and 3 show the average hit rates obtained while executing several simulations with a cache size of 5%and10%0%, respectively.
The average hit rates per condition are shown in Table 6.
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The performance of models was measured by the average hit rate of negative and positive vaccine outcome.
This leads to equal c2 predictions for strong versus weak items, even though the average hit rate of strong items (strong items ranked first) would be greater than the average hit rate of weak items.
In order to verify that the encoding manipulation worked, we compared the average hit rate (i.e. targets ranked 1st) for the weak targets to the average hit rate for the strong targets using a dependent t-test.
For example, the average hit rate of 0.47 across conditions here is equivalent to the 0.47 hit rate reported by Gregg and Samuel (2008) in their Experiment 1.
The average hit rate of red patch labeling was more than 98% for 18 evaluation clips, as shown in Table 1.
It is approximately six times faster than conventional Mel frequency cepstrum coefficient (MFCC) for music retrieval while the average hit rate is only 59%.
The average hit rate of the proposed algorithm is larger than 93% with a maximum of 95% in 'QP = 45' and a minimum of 91% in 'QP = 34'.
Such a case, when compared to the case of N m only consideration, improves the average hit rate of the best mode by 0.21%.
In order to test the generalization ability of the models, a 10-fold cross-validation procedure revealed that the model obtained by multilayer perceptron produced the highest average hit rate among neural network algorithms, and also outperformed the logistic regression model with regard to sensitivity and specificity.
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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