BACKGROUND Classification and regression tree (CART) models are tree-based exploratory data analysis methods which have been shown to be very useful in identifying and estimating complex hierarchical relationships in ecological and medical contexts. In this paper, a Bayesian CART model is described and applied to the problem of modelling the cryptosporidiosis infection in Queensland, Australia....

In this paper, we compare three different machine learning techniques for predicting length of stay (LOS) in Pennsylvania Federal and Specialty hospitals. Using the real-world data on 88 hospitals, we compare the performances of three different machine learning techniques—Classification and Regression Tree (CART), Chi-Square Automatic Interaction Detection (CHAID) and Support Vector Regression ...

The classification and regression trees (CART) possess the advantage of being able to handlelarge data sets and yield readily interpretable models. In spite to these advantages, they are alsorecognized as highly unstable classifiers with respect to minor perturbations in the training data.In the other words methods present high variance. Fuzzy logic brings in an improvement in theseaspects due ...

Change in urban construction land use is an important factor when studying urban expansion. Many scholars have combined cellular automata (CA) with data mining algorithms to perform relevant simulation studies. However, the parameters for rule extraction are difficult to determine and the rules are simplex, and together, these factors tend to introduce excessive fitting problems and low modelin...

Aimed at the problem of huge computation, large tree size and over-fitting of the testing data for multivariate decision tree (MDT) algorithms, we proposed a novel roughset-based multivariate decision trees (RSMDT) method. In this paper, the positive region degree of condition attributes with respect to decision attributes in rough set theory is used for selecting attributes in multivariate tes...

This paper describes the construction and evaluation of a segmental duration prediction model for Greek language with the application of CART (Classification and Regression Tree) machine learning approach. A ToBI annotated prosodic speech corpus was utilized for the construction of training and testing sets. Our phoneme category was composed of 34 phonemes distributed in 32.072 instances (in 5....

This paper presents a fault classification method for transmission lines based on voltage phasors using classification and regression trees (CART). The proposed method is intended to aid system operators in understanding the outputs of a PMU only state estimator. Faults are classified into four categories when the estimator is positive sequence and into ten categories when the estimator is thre...

Poverty is a global problem that of concern to the world. It can be seen from SDGs declaration, which makes poverty top priority. Good management will help solve other world problems such as hunger, health, welfare, education, and sanitation. To achieve goal handling quickly maximally, an analysis identify poor households correctly designed so targeted program according characteristics classifi...