Sentence examples for build a classification model from inspiring English sources
This paper attempts to build a classification model according to the research products created by those institutes and hence to design specific evaluation processes.
To predict tie persistence we build a classification model using simple logistic regression (LogR) models where the positive class is tie persistence, that is, that we observe at least a communication event in (Omega_{mathrm{after}}).
This paper tackles the sovereign credit rating classification problem within an ordinal classification perspective by employing a pairwise class distances projection to build a classification model based on standard regression techniques.
A slightly more sophisticated category of multivariate analysis is supervised methods, whereby a calibration dataset of known identity is required to build a classification model.
PLS-DA is a supervised classification method in which a prior knowledge is required for a training dataset in order to build a classification model to test unknown samples.
We create training instances using simulated RNA-seq fragments from annotated genes in Ensembl to build a classification model.
Effectively this procedure builds a classification model with 90% of the spectra and then tests the remaining 10% to assess classification accuracy.
Furthermore, we built a classification model using logistic regression to assess the performance of the purine pathway analytes in separating the groups in space.
Model robustness was tested by cross-validation (CV) with Venetian Blinds, which builds a classification model based on 90% of the data, tests the remaining 10% against that model, and repeats the process through ten iterations to assess its predictive power.
The first concept separates all variables to groups according to prior knowledge and builds a classification model for each group independently.
A classification algorithm builds a classification model that, based on the values of the predictor attributes for a given data instance, predicts what is the class value for that instance.
