Sentence examples for predictor attributes and from inspiring English sources

Each data instance represents a DNA repair gene and consists of two parts, a set of predictor attributes and a class.

First, the classification model is built from a subset of the data called the training set, where the algorithm knows the values of both predictor attributes and classes for the data instances.

Classification is a type of supervised learning task where each data instance (also called "an example" in data mining terminology) in the dataset consists of two parts, a set of predictor attributes and a special class attribute.

After the model is built, its predictive accuracy is then measured in a separate subset of the data, called the test set, where the algorithm knows only the values of the predictor attributes (and not classes) for data instances.

The two predictor attributes representing the type of DNA repair pathway and a measure of a gene's rate of evolutionary change had little predictive power.

Many GO terms are associated with just one or two genes in the dataset, and therefore they correspond to predictor attributes with no or very low predictive power.

Each data instance (DNA repair gene) belongs to a class, either ageing-related or non-ageing related, and is characterized by a set of predictor attributes which encompass properties related to its DNA repair pathway, Gene Ontology (GO) term annotations, protein-protein interaction information, etc - see Methods.

A probabilistic neural network (PNN) was trained by using a set of predictor attributes derived from a multiple regression analysis.

Two types of predictor attributes derived from those PPIs were used.

Each data instance (in either class) was then represented by a set of predictor attributes.

A set of predictor attributes based on a large number of GO terms (from about 100 to about 300 attributes depending on the dataset) had some predictive power.