Sentence examples for median classification from inspiring English sources

After many astronomers objected to this proposal, an alternative was drawn up by Uruguayan astronomer Julio Ángel Fernández, in which he created a median classification for objects large enough to be round but that had not cleared their orbits of planetesimals.

Our experiments show nearly identical median classification and variable selection accuracy for SLB forests and URF forests when applied to both simulated and real datasets.

As depicted in the Box-and-Whisker plot in figure 2B, this classification resulted in a significant (P<0.0001) difference of the median classification factor between patients with DN (0.889 [95% CI: 0.843 to 0.924]) and patients without DN (−0.461 %°CI°CI: −0.592 to −0.255]).

There was not a significant decrease in median classification accuracy of all accurately classified phenotypes (less than a 1% decrease; see also the threshold guide).

The upper half of Table 1 shows the median classification accuracy and ROC curve area achieved by individual datasets when N was 100.

Each single input model subset is then analysed and the median classification performance (based on the predictive error for the blind test set) is determined.

Median ASA classification (interquartile range, IQR) of the included patients in both groups was 3 (2–3).

Only seven probe sets achieved median male female classification accuracy above 75%% and only five above 90%%.

Additionally, in the GSE14333 dataset, the stem-like (i.e. bad prognosis) subtype could be predicted with a median correct classification percentage of 67%.

Table 1 summarizes the median of classification accuracy and AUC with N = 100 and the sized-weighted averages of these statistics were generally higher than those obtained from the individual datasets.

Thus, with a small sample set, researchers could use the lower boundary of 95% CI of the estimated median as the classification criteria.