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Scientific Research Publishing6mon
Breiman, L., Friedman, J., Olshen, R.A. and Stone, C.J. (1984) Classification and Regression Trees. Chapman and Hall/CRC. - Scientific Research Publishing
In contrast, the decision tree model performed significantly better, establishing clear decision boundaries and achieving high classification accuracy. The decision tree consistently selected Height ...
Scientific Research Publishing7mon
Breiman, L., Friendman, J.H., Olshen, R.A. and Stone, C.J. (1984) Classification and Regression trees. Wadsworth. - Scientific Research Publishing
Breiman, L., Friendman, J.H., Olshen, R.A. and Stone, C.J. (1984) Classification and Regression trees. Wadsworth. has been cited by the following article: TITLE: Application of Decision Tree Algorithm ...
ascopubs.org11mon
Classification and Regression Trees to Predict for Survival for Patients With Hepatocellular Carcinoma Treated With Atezolizumab and Bevacizumab
PURPOSESystemic therapy with atezolizumab and bevacizumab can extend life for patients with advanced hepatocellular carcinoma (HCC). However, there is substantial variability in response to therapy ...
IEEE1y
Random forest of Classification and Regression Tree (CART) in the estimation of SWC based on meteorological inputs and hydrodynamics behind - IEEE Xplore
This study employs the random forest algorithm of Classification and Regression Trees (CART) to estimate soil water content (SWC) at shallow depths in a grassland terrain site. Leveraging ...
IEEE3y
Daily Load Forecasting Based on a Combination of Classification and Regression Tree and Deep Belief Network - IEEE Xplore
The next-day load forecasting is complex due to the load pattern variations driven by external factors, such as weather and time. This study proposes a hybrid model that incorporates the ...
Risk6y
Loss given default estimation: a two-stage model with classification tree-based boosting and support vector logistic regression - Risk.net
In this study, using a data set composed of five Japanese regional banks, we propose an LGD estimation model using a two- stage model, classification tree-based boosting and support vector regression ...