Regression tree
Predicting outcome on admission and post-admission for acetaminophen-induced acute liver failure using classification and regression tree models.
... In this analysis, CART models modestly increased predictive performance of 21-day death/LT compared to traditional regression-derived KCC using United States ALFSG data. KCC-CART trees improved considerably the ...
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An hybrid approach based on neural networks and regression Tree Models for fast dynamic security assessment
... One of the key features of this control applications is related with the capability to assure a robust operation of the power system regarding to expected disturbances, which is achieved by performing on-line and ...
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Patterns of cognitive performance in healthy ageing in Northern Portugal: a cross-sectional analysis.
... the tree clusters, K-means clustering with 4 clusters could explain 77% of the between-group ...the regression tree analysis (T-clusters) showed that C-cluster 1 had a higher proportion of elements ...
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SUB-PIXEL ESTIMATION OF TREE COVER AND BARE SURFACE DENSITIES
... of tree cover and bare surfaces within the study ...with regression trees for the entire study area, one representing tree cover and the other representing bare ...non-linear regression ...
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Clinics vol.66 número1
... some of the patients with splenomegaly and dilated portal vein may not have LEV. One possible explanation for this result could be the development of spontaneous intra- abdominal shunts (such as paraumbilical vein or ...
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Investigation of the Effect of Traffic Parameters on Road Hazard Using Classification Tree Model
... a regression tree by using traffic flow and speed at accident location, nearest upstream and downstream and concluded that road accidents depend more on traffic parameters: traffic flow and vehicle speed ...
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Usability of CART algorithm for determining egg quality characteristics influencing fertility in the eggs of Japanese quail
... The tree structure gives some cut off-values, which can contribute to quail breeders in practice (Figure ...the tree construction for egg weight was ...and regression tree algorithm predicted ...
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Relationship between soil organic matter fractions and cover plants in Olive post planting
... olive tree managements on SOM and its soil fractions in soil (Inceptisol) and erosion ...olive tree intercropped with jack bean, olive tree intercropped with pearl millet, and olive tree ...
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A Tutorial on Logistic Regression
... logistic regression is useful in investigating the relationship between an outcome and a set of prognostic factors in a matched case-control studies, the outcome being whether the subject is a case or a ...
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Econometrics of Ascending Auctions by Quantile Regression
... quantile regression model offers a flexible parametric specification for conditional quantiles since includes functional components that may be helpful to reduce the impact of ...semiparametric regression ...
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Algorithms for Stem Mapping by Means of Terrestrial Laser Scanning
... Measurements not assigned as terrain points can be tagged as vegetation points. Vegetation points contain measurements from stems, branches, foliage, and low vegetation. It is not possible to ascertain which points are ...
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Alternative Fuzzy Switching Regression
... ε follow the uniform distribution U[-1,1] over the closed interval [-1,1]. This data set is shown in Fig. 4. We add one outlying point into the data set and then estimate the switching regression coefficients ...
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Climatic Stress during Stand Development Alters the Sign and Magnitude of Age-Related Growth Responses in a Subtropical Mountain Pine.
... with tree size observed as stands develop; the rela- tionship became not significant and slightly negative at mature stages (see Fig 4B and parame- ters in Table ...height, tree density, evenness) that ...
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ON INTERVAL ESTIMATING REGRESSION
... The first approach of interval kernel regression is to apply the formula from the section 2. of the paper without any transformation. From the other side we know, that formulas that are equal in the ordinary real ...
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Revisit of Logistic Regression
... In the experimental results on multi-class classifications using various datasets, the proposed methods exhibit favorable performances in terms of classification accuracies and computati[r] ...
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A Matlab program for stepwise regression
... linear regression is a multi-variable regression for identifying statistically significant variables in the linear regression equation (Zhang and Fang, ...
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Maximum growing season temperature in Western Europe: multi proxy reconstructions in Fontainebleau from 1596 to 2000
... Fontainebleau tree-ring latewood cellulose δ 13 C (orange), Fontainebleau tree growth index (green), Fontainebleau tree-ring latewood cellulose δ 18 O (blue), historical Burgundy grape harvest dates ...
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Pesqui. Oper. vol.35 número1
... variable using discriminant analysis. Thus Fisher’s approach can be seen as the starting point for developments and modifications of the methodologies used for granting of credit until today, where statistical ...
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Ternary Tree and Memory-Efficient Huffman Decoding Algorithm
... binary tree search ...binary tree is a finite set of elements that is either empty or partitioned into three disjoint ...original tree. Each element of a binary tree is called a node of the ...
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SOFTWARE ARCHITECTURE BASED REGRESSION TESTING
... As per the review carried out, software architecture helps in creating early test and hence reduces the cost of testing. The work presented intends to amalgamate the virtues of software architecture along with the ...
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