Sentence examples for datasets on the performance from inspiring English sources
New datasets on the performance of urban landscapes are changing our view of what future urban parks will look like and what it will do.
First, the effects of different types of microarray datasets on the performance of each imputation algorithm were evaluated.
We used a compendium of six Affymetrix breast cancer datasets to evaluate the effect of pooling datasets on the performance of classifiers (see Table 1 and methods section).
To analyze the influence of the number of negative samples in benchmark dataset on the performance of enDNA-Prot, a training dataset and a validation dataset are constructed based on S e.
In order to analyze the influence of the number of negative samples in benchmark dataset on the performance of enDNA-Prot, we constructed an expanded benchmark dataset based on benchmark dataset by adding sufficient number of non-DNA-binding proteins.
Through a validation dataset and multiple training datasets, the compact of the number of negative samples in training dataset on the performance of current method is achieved, which are given in Figure 2. As shown in this figure, the performance of enDNA-Prot increases to a maximum value as the value of n increases from 250 to 1100 and then tends to be steady when n is larger than 1100.
We explored the effect of pooling artificial datasets on the classification performance (double loop cross validation), independent validation, and signature size.
In this setup, we inspected the effect of pooling breast cancer datasets on the classification performance (double loop cross validation), independent validation (a seventh dataset), signature size, and functional enrichment.
We next tested the influence of the number of samples within an expression dataset on the relative performance of the top module detection methods within every category.
Moreover, it is applied to a well-known dataset on the diagnostic performance of multislice computed tomography and magnetic resonance imaging for the diagnosis of coronary artery disease [ 16, 29].
