Sentence examples for model decision tree from inspiring English sources

From those, the J48-GA wrapper method was selected for model (decision tree) building as it generated the feature set associated with the highest IV performance.

The main statistical models for named-entity recognition include hidden Markov model, decision tree model, support vector machine (SVM) model, maximum entropy model, and conditional random fields model.

The other 1/3 of the data (out-of-bag, or OOB) were used to carry out an internal examination of model (decision tree) prediction error and estimate variable importance.

To develop a prognostic model, decision tree analysis was carried out with SAS 9.1.

Using standard software (TreeAge Pro 2004 Software, release 6, Treeage Software, Williamstown, MA, USA), we created a mathematical model (decision tree) to estimate the effect of influenza vaccination on outcomes and costs among children.

In order to capture hidden and upcoming trends of product demand, the algorithm combines three different models: decision tree for large-scale data, discrete choice analysis for demand modeling, and automatic time series forecasting for trend analysis.

The performance of logistic regression models, decision trees, and neural networks is systematically evaluated.

Another list of predictive models is linear models, decision trees, neural networks, clusters models, support vector machines, expert systems.

It is based upon an ontology to model the domain knowledge and a learning method to build the interpretable models (decision trees in this paper).

Along with regression models, decision trees can also be used in diagnostic or prognostic decision making [ 36].

Approaches include clustering techniques (i.e. genetic algorithms, regression models, decision trees, k-nearest neighbor, neural networks, and rule induction).