Sentence examples for by partitioning the data from inspiring English sources

Table 3 further inquires into these heterogeneous results by partitioning the data into wealth terciles.5 For the poorest tercile, the overall probability of attending school is 4.3 points higher than for their non-recipient counterparts.

In this paper, we propose a novel RkNN algorithm with pre-computation by partitioning the data space into disjoint rectangular regions and constructing the guardian set for each region R. We guarantee that, for each q that lies in R, its RkNN results are only affected by the objects in R's guardian set.

We tried to account for among site rate variation by partitioning the data into codon positions and also after the evolutionary rate of the genes.

First, we modified the base model by partitioning the data set into the pile-weave and non-pile-weave design characters.

The trend for longer first introns was examined in more detail by partitioning the data for 'non-first' introns into separate classes, i.e. when 1st and 2nd intron lengths are compared in CDSs that have exactly the same number of introns.

Clustering, in data mining, tries to identify the distribution of patterns and intrinsic correlations in datasets by partitioning the data points into similarity groups.

The RF algorithm [ 13] produces an ensemble of decision tree classifiers, where each decision tree is constructed by recursively partitioning the data by feature value tests (forming 'nodes') so as to reduce the entropy of the class label in the resulting partitions ('branches'branches

C4.5 builds a DT top-down, by recursively partitioning the data at each step by a test comparing a feature to a value.

In general, the transform streamlines otherwise unwieldy computations by systematically partitioning the data.

The mixture model was fit by recursively partitioning the data using a 2-class mixture model, with a variant of BIC used as a criterion for the split, as described in [46].

Each of these classifiers was actually a composite of multiple patient subgroup-specific classifiers in the form of a decision tree by recursively partitioning the data set and training a logistic regression model in the leaf nodes [ 32].