Sentence examples for event balanced from inspiring English sources

When in the context of error estimation one enforces that both the training and testing sets have the same proportion of events and non-events as the original full data, we will call such error estimation "event balanced".

In order to make sure that the number of regret and relief events balanced out in the IP task (where we had no control on the participant's choice), every trial was pre-determined to necessarily result in a variable amount of either regret or relief by means of a feedback-routine.

As shown in Figure 2F, in WT cells, there were 100 mitochondrial fusion events and 91 fission events, fission events and fusion events are balanced, and only 15 out of 100 fusions belong to 'kiss-and-run' type; additionally, in shYme1L cells, 100 mitochondrial fusion events and 122 fission events happened, reveal that shYme1L cells exhibit more mitochondrial fission than fusion.

The present paper showed that choices of error metric, classifier, error estimator and event balancing have large and compounding effects on statistical power.

Four factors (choice of error metric, classifier, error estimator, and event balancing) were investigated by theoretical assessment, simulation study, and application to 7 human microarray datasets.

We show that choices of specific components of the analysis (i.e., error metric, classifier, error estimator and event balancing) have large and compounding effects on statistical power.

The present work shows that four specific components of data analysis (error metric, error estimator, classifier, and event balancing) have significant and compounding effects on probability (i.e., statistical power) to detect true signal in molecular signatures.

However the simulation strengthens our hypothesis that the choice of error metric, classifier, event balancing and error estimator have large impact on study results and sheds light on the limitations of the analyses described in prior work [23].

However the choice of classifier is not addressed as of crucial importance, the choice of error metric and estimator is not linked to statistical power, and event balancing as a source of bias and low power is not addressed.

In any event, we balanced his phrase with other phrases often heard on the left: that we need to "narrow the gap between rich and poor," and "make economic outcomes more equal".

Adverse events and serious adverse events were balanced between groups.