Sentence examples for construct a classification from inspiring English sources
To construct a classification of patients with shoulder complaints based on their physical examination.
A central problem in constructing the efficient classification system is identifying a representative set of features from which to construct a classification model for a particular task.
Little by little, guided by the teacher and by reflexive observation of feature distribution among organisms, pupils construct a classification of seven species based on what they share and not on what they have or what they do not have.
Despite numerous attempts to determine the appropriate re-sampling proportion in each class by using a trial-and-error method in order to construct a classification model with imbalanced data (Barandela, Vadovinos, Sánchez, & Ferri, 2004; He, Han, & Wang, 2005; Japkowicz, 2000; McCarthy, Zabar, & Weiss, 2005), the optimal strategy for each class may be infeasible when using such a method.
A learning method attempts to automatically construct a classification system from a collection, or training set, of input examples.
A 61-sample training set containing 36 TAA patients (24 males and 12 females) and 25 controls (7 males, 18 females) were used to select classifier genes and construct a classification model.
He constructed a classification system that associated physiology and psychology, which he outlined in The Varieties of Human Physique (1940) and The Varieties of Temperament (1942).
The response variable was 0 for Ames- or 1 for Ames+ in these models and the predicted value found from the regression was used as a cutoff in constructing a classification model.
Second, to act as an alternative classification tree, we constructed a "classification" tree from the language subgrouping information in the Ethnologue online [31].
In this report, based on training data derived from a reference collection of genes with assigned characterization scores from over 50 scientists worldwide, we constructed a classification function that successfully predicts the characterization of human protein-encoding genes.
