Exact(1)
The trend for errors of p h estimates is shown in Figure 1a, indicating the accuracy advantage for MLML as a function of coverage.
Similar(59)
The trend for the error values shows that the assistance was as designed.
The RF rises gradually from 56to5858, whereas SVM remains stable between 57 and 57.5. Figure 6 illustrates a decreasing trend for classification error in the three dataset.
Hit rate did not differ significantly between MPH and placebo condition (MPH: 98.6 ± 1.5%; placebo: 98.1 ± 1.8%, factor Med: F 1, 12) = 1.71, n.s).. Impulsivity errors, i.e., reacting despite of a nogo-stimulus, were low but a trend for fewer impulsivity errors under MPH was obtained (MPH: 1.07 ± 1.14, placebo: 0.57 ± 1.65; factor Med: F 1,12) = 3.27, p < 0.1).
Thus, there was a trend for more counting errors Off medication (24 blocks Off, 26 blocks On, Fisher's exact test, P=0.1).
The values of the root of the relative mean square error (RRMSE) followed the same trend with larger errors for Ne2 and Ne3 and smaller RRMSE values for T1 and T2 which were therefore reasonably estimated (Table S10).
The decrement trend in errors behavior was observed and the error for near circular configuration was reached less than 1e−4 in a few iterations.
Without statistical adjustments to correct for baseline trend, Type I errors greatly increased as baseline trend increased.
for errors in judgment.
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