Sentence examples for test datasets set from inspiring English sources

We first created test datasets (set y), where each curated gene set was merged with twice its number of unrelated randomly selected human genes (set r) to incorporate background "noise".

In the split-sample procedure, the sample dataset is split into two subsets (either randomly split the entire data or a designated test dataset), a training set for model building and a test set for model validation.

This gave us two sets of test datasets: A single-label test set comprising 16,344 single-label compounds, and a multi-label test set consisting of 3,332 multi-label compounds.

To establish variances of estimates at varying spatial scales, a method using simple empirical estimates of the prediction error variance was applied using a validation dataset set aside to test and validate the analysis methods.

Moreover, VS performance of SVM was compared to those of two similarity-based VS methods, Tanimoto similarity searching and k nearest neighbour (kNN), and an alternative but equally popularly used machine learning method, probabilistic neural network (PNN) method, based on the same training and testing datasets (same sets of PubChem and MDDR compounds) and molecular descriptors.

Note that this is done to provide a suitable set of test datasets for comparing new and old methods, and we do not mean to imply that partitioning schemes estimated from reduced-taxon datasets should be used on the full-taxon dataset.

Since the overcomplete library of the basis sets generated by the high-order balanced M-band multiwavelet packet transform can also be viewed in terms of a tree structure, we used entropic cost function searching algorithms to find both the best basis set corresponding to test datasets and for establishing the searching algorithm.

To remove microarray platform/source systematic biases, we applied DWD to the 2 test datasets relative to the combined test set.

In the test dataset, a larger set of markers significantly changed after 4 weeks.

The expectation is that short-listed ncSNVs will be enriched with pathogenic variants, and indeed greater than 94% of ncSNVs in the top ranked predictions were from the pathogenic set when the test datasets consisted of non-pathogenic and pathogenic variants in equal numbers (mixing ratio = 1 1) (Fig. 3a).

The testing agency would evaluate the product's results on a set of demographic test datasets designed to mimic its real-world performance for those demographics.