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Table 3 shows the distribution of classifications of infant attachment.
The table shows the distribution of classifications as a percentage of the total number of classifications.
The distribution of classifications (no-problem gamers, problem gamers, and addicted gamers) using all seven items (the GAS 7 approach) is cross-tabulated against the distribution of classification using only the core criteria (the CORE 4 approach) in Table 5.
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Figure 1 Distribution of classification errors for the logP2 data set.
From the box diagram depicted in Figs. 3 and 4,we visualized the distribution of classification accuracy on the 50 runs for each algorithm and for both Australian and German dataset.
Given a distribution of classification performances for each training set size, the corresponding 95% intervals are constructed.
There were no significant differences in the distribution of classification diagnosis results between enhanced CT and CEUS (P > 0.05).
There were significant differences in the distribution of classification diagnosis results between enhanced CT and US (P = 0.001).
Fig. 8 summarizes the CV for the distribution of classification criteria, in simulated data sets with different censoring points.
The distribution of classification terms in the amplification-model based clustering of cancer cases revealed cancer classes that were associated with specific DNA copy number amplification models.
Fig. 7 summarizes the coefficient of variation (CV) for the distribution of classification criteria, in simulated data sets with different sample size.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com