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Exact(25)
For the designs with 8 and 12 possible choices, the mean accuracies of the choices were 95.3% and 88.5%, respectively.
The null hypothesis is that the mean accuracy of the proposed method is equal to the mean accuracies of the other fusion methods.
Classification function analyses for the 12 bottom-types achieve mean accuracies of 83%, 76%, and 71% for full-spectrum data (301-wavelength), 52-wavelength, and 14-wavelength subsets, respectively.
The experiments show that mean decision times of 240 ms and 40 ms are needed to achieve mean accuracies of 99.87% and 99.82% for recognition of walking activities and gait events, respectively.
The P value obtained is much smaller than the level of significance 0.05, so we accept the alternative hypothesis that the mean accuracies of the weighted mean fusion method differ from the other methods.
GRAPE/GARLIC and FCFP6 were equally accurate, i.e., did not give statistically different results, with mean accuracies of 95.80 and 95.53% of structures matched, respectively (Brunner Munzel paired rank test, P = 0.42).
Similar(35)
A(~V) = Mean accuracy of task performance without using visualization.
The mean accuracy of the stereoradiographic reconstruction was 1.2 mm.
With a mean accuracy of 80.9 % the proposed method performs better (p<0.1) than the baseline method with a mean accuracy of 76.4 %.
Participants' DTT performance generalized to the other two tasks (mean accuracy of 94%) and to teaching the tasks to a child with autism (mean accuracy of 91%).
The hardest label is L2 with a mean accuracy of approximately 72%.
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CEO of Professional Science Editing for Scientists @ prosciediting.com