classification and regression tree
THE USE OF CLASSIFICATION AND REGRESSION TREE WHEN CLASSIFYING WINNING AND LOSING BASKETBALL TEAMS
... the classification and regression tree (CRT) non-parametric ...the classification of winning and losing teams in the fast-paced ...better classification of winning or losing teams was ...
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Title: Classification and Regression Tree Method for Forecasting
... Regression tree analysis is when the predicted outcome can be considered a real number ...term Classification And Regression Tree (CART) analysis is an umbrella term used to refer to ...
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The use of classification and regression tree to predict 15 year survival in community dwelling older people
... use Classification and Regression Tree to predict 15-year survival in community-dwelling older ...2000. Classification and Regression Tree is a non-parametric technique widely ...
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Classification and regression tree in classifying and predicting students' academic performance
... the classification methods in particular decision ...decision tree methods: Classification and Regression Tree (CART), ...a classification model for predicting students‟ academic ...
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Classification and regression tree analysis in acute coronary syndrome patients
... and regression tree (CART) analysis has gradually become a popular statistical technique in health sciences because the decision tree is easy to understand and provides a clear means to make clinical ...
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A SUMMARY OF Classification and Regression Tree WITH APPLICATION
... of classification and regression tree (CART) analysis has seen an increasing interest within the last 10 ...a tree-building technique which is unlike traditional data analysis ...
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Predictive model of biliocystic communication in liver hydatid cysts using classification and regression tree analysis
... methodology: classification and regression tree analysis (CART) [25], we set predictive algorithm to help us to assess patient's risk to develop ...
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Predicting in-hospital mortality in pneumonia-associated septic shock patients using a classification and regression tree: a nested cohort study
... use classification and regression tree (CART) methodology to predict in-hospital mortality of patients with pneumonia compli- cated by septic ...
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paraFaceTest: an ensemble of regression tree-based facial features extraction for efficient facial paralysis classification
... CT: Classification tree; DT: Decision Tree; ERT: Ensemble of regression trees; ERT-GRFE: Ensemble of Regression Tree-based method for geometric and region features extraction; ...
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Regression Tree Classification for Activity Prediction in Smart Homes
... new regression-tree-based activity forecasting algorithm to predict the occurrence of future activities for prompting initiation of such ...linear regression classification using real data ...
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Classification and regression tree (CART) model to predict pulmonary tuberculosis in hospitalized patients
... the tree was stopped when we found a gain of less than 1% of the classification error or when the number of patients within each knot was less than ...
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Using classification and regression tree modelling to investigate response shift patterns in dentine hypersensitivity
... CRT provided a useful method to analyse patterns of RS. On the left branch of the tree (Fig.1), the first split of node 1 might indicate that people coping with DH reports an improvement in QoL after treatment. ...
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Associations between ambient air pollutant mixtures and pediatric asthma emergency department visits in three cities: a classification and regression tree approach
... asthma in Atlanta (1999 – 2009), Dallas (2006 – 2009) and St. Louis (2001 – 2007). Daily concentrations of each pollutant were categorized into four levels, resulting in 64 different combinations or “ Day-Types ” that ...
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Clinical parameters predicting failure of empirical antibacterial therapy in early onset neonatal sepsis, identified by classification and regression tree analysis
... defined time points. The fact that all included parameters are readily available in most NICUs enhances the clinical applicability of the decision tree considerably. Hypogly- caemia has been suggested as a ...
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Classification and Regression Tree (CART) analysis to predict influenza in primary care patients
... fection. Classification and regression trees have been used to analyze mortality in persons with influenza A (H5N1) virus [12] and the likelihood of seasonal influenza [13, ...the Classification and ...
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A Survey on Decision Tree Algorithm for Classification
... CART: Classification and regression tree (CART) proposed by Breiman et ...decision tree learning technique that produces either classification or regression trees, depending on ...
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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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Classification tree analysis using TARGET
... called tree analysis with randomly generated and evolved trees (TARGET) that performs a better search of the tree model space and largely resolves the problems with current tree modeling ...for ...
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Scene text detection using the regression tree technique
... by classification, and 2) text localization to cluster local text regions into text blocks, and text verification to remove non-text regions for further ...
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Pattern classification using polynomial and linear regression
... the regression polynomial respectively the regression hyper plane for this ...the regression polynomial respectively the regression hyper plane for both classes (those from we move and those ...
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