Sentence examples for model tree and from inspiring English sources

However, machine learning techniques such as ANN, M5′ model tree and SVM provided superior models compared to NLR analysis.

New formulas were developed for the estimation of wave runup height using a combination of model tree and nonlinear regression techniques.

This work examines the application of M5 model tree and conventionally used fixed/random effect negative binomial (FENB/RENB) regression models for accident prediction on non-urban sections of highway in Haryana Indiaa).

Using these metrics, the ELM model's performance was compared to that of existing methods: multivariate adaptive regression spline (MARS), M5 Model Tree, and a semi-empirical (Pro6UV) clear sky model.

Empirical results showed that the ICEEMDAN-PSO-SVR model performed well for all forecasting horizons, outperforming the alternative comparison approaches: ICEEMDAN-MARS and ICEEMDAN-M5 model tree and the PSO-SVR, PSO-MARS and PSO-M5 model tree algorithm.

Four single-model learners (CART, k-nearest neighbor, multinomial logistic regression, and logistic model tree) and five ensemble-model learners (CART with bagging, k-nearest neighbor with bagging, multinomial logistic regression with bagging, logistic model trees with bagging, and Random Forest) were compared.

Results indicate that error statistics of model trees and feed-forward back propagation (FFBP) ANNs were similar, while model trees was marginally more accurate.

The Bagging-M5P method [31] produces a set of M5P model trees and predicts, for a new compound, the value of a target variable that is an average of the values predicted by the individual model trees.

KCL implemented annotated tree visualization, model trees and regression trees.

We also analyze the induced model trees and their contents.

I use the same model trees and input trees as in the previous section.