Classification and Regression Tree Analysis
Internalizing Symptoms as Predictors of School Absenteeism Severity at Multiple Levels: Ensemble and Classification and Regression Tree Analysis
... and classification and regression tree analysis to identify potential internalizing behavior risk factors among youth at different levels of school absenteeism severity ...
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Family Environment Variables as Predictors of School Absenteeism Severity at Multiple Levels: Ensemble and Classification and Regression Tree Analysis
... Mirae J. Fornander and Christopher A. Kearney* University of Nevada, Las Vegas, Las Vegas, NV, United States School attendance problems, including school absenteeism, are common to many students worldwide, and frameworks ...
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Classification and regression tree analysis in acute coronary syndrome patients
... 5. LIMITATIONS AND RECOMMENDATIONS The contribution of anxiety and ACS symptoms during a cardiac event to the quality of life one month later was examined in this study. Nevertheless, what occurred dur- ing one month ...
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Predictive model of biliocystic communication in liver hydatid cysts using classification and regression tree analysis
... maximal tree was built on the entire sample, the sample was divided into 10 equal parts and each contained a sim- ilar distribution of outcome ...possible tree, and the remaining 1 part was used to obtain ...
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Clinical parameters predicting failure of empirical antibacterial therapy in early onset neonatal sepsis, identified by classification and regression tree analysis
... logistic regression analysis were entered into multiple logistic regression (MLR) anal- ysis with backward stepwise removal of parameters in order of ...CRT analysis was performed with the ...
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Getting to the Roots of Long Term Care Needs: A Regression Tree Analysis
... inference tree follows three steps: 1) test the global null hypothesis of independence between any of the input variables and the ...and classification methods, the main advantage of this approach is that ...
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REGRESSION TREE ANALYSIS FOR PREDICTING RACE PERFORMANCE (SPEED) OF THOROUGHBRED RACEHORSES
... of regression tree methodology, assuming that the reader is familiar with the basic ...classic Classification Analysis and Regression Tree (CART) program of Breiman et ...binary ...
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A SUMMARY OF Classification and Regression Tree WITH APPLICATION
... CART analysis has been accepted relatively slowly because it is unlike other analysis ...the analysis and the difficult to use software needed for CART analysis are other important factors ...
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Title: Classification and Regression Tree Method for Forecasting
... Sentiment classification is a special task of text classification whose objective is to classify a text according to the sentimental polarities of opinions it contains ...and Regression Tree) ...
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Classification and regression energy tree for functional data
... Data are often observed on a discrete grid t 1 , . . . , t n , that can be fine or sparse. It is possible to consider all these values as a multivariate set, and analyze them with standard multivariate techniques, while ...
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Classification and Regression Tree (CART) analysis to predict influenza in primary care patients
... Several sets of candidate predictors were used to build the classification trees. Using several iterations, CART models were used to determine a clinically logical fit, based on sen- sitivity and specificity; the ...
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Self-efficacy and risk of persistent shoulder pain: results of a Classification and Regression Tree (CART) analysis
... High levels of pain and disability at baseline are associated with high levels of pain and disability at 6 month follow up.. However, this ‘predicted’ poor outcome is modified to a p[r] ...
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Classification tree analysis using TARGET
... best tree from the sequence of trees considered in the pruning ...partitioning tree construction methods. The main weak- ness is greediness in the tree-growing ...for regression, local ...
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Differential diagnosis of Erythmato-Squamous Diseases using classification and regression tree
... Authentic papers contain these parts: introduction, goal, methods, results, discus- sion and conclusion. Introduction is brief and clear review of the problem. Methods are shown, so that interested reader is able to ...
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Performance Analysis of Classification Tree Learning Algorithms
... decision tree pruning. For every non-leaf sub tree of the original decision tree, the change in misclassification over the test set is ...fast regression tree learner that uses ...
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THE USE OF CLASSIFICATION AND REGRESSION TREE WHEN CLASSIFYING WINNING AND LOSING BASKETBALL TEAMS
... univariate analysis (Ortega, Cárdenas, Sainz de Baranda, & Palao, 2006; Parejo, García, Antúnez, & Ibáñez, 2013), linear regression models (Moreno, et ...discriminant analysis (Lorenzo, et ...
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Classification and regression tree (CART) model to predict pulmonary tuberculosis in hospitalized patients
... gic analysis while admitted in regular hospital beds, es- pecially those with confirmed or suspicion of HIV/AIDS ...logistic regression and neural networks, are available and more studies are needed to ...
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The use of classification and regression tree when classifying winning and losing basketball teams
... univariate analysis (Ortega, Cárdenas, Sainz de Baranda, & Palao, 2006; Parejo, García, Antúnez, & Ibáñez, 2013), linear regression models (Moreno, et ...discriminant analysis (Lorenzo, et ...
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Using classification and regression tree modelling to investigate response shift patterns in dentine hypersensitivity
... Discrepancies between clinical measures and patient- reported outcomes are widely recognised and it may be that RS masks important treatment effects in evaluative research. In this study, 50.7% of participants ...
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Diagnosis of epithelial mesothelioma using tree-based regression analysis and a
... alternative classification or regression tree-based analysis began at the root of the tree with an a priori probability of a case being an epithelial mesothelioma case at ...
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