… using cross-validation or using the training/test set methodology. In both cross-validation and
in the use of the training/… of which the simpler types of decision tree methods seem the most …

… the hydrographic data , we study how the forest … analysis. As a result we known the best
forest types which have the closes t relationship with the water conservation function . The study …

… The objective of this study is to reveal the influence of grass coverage on the time of runoff
beginning and stop in the hillslope-gully slope erosion system on loess hilly area.In scouring …

… tree are calculated after the classification tree is constructed. New objects descend the tree
… Results of the Study: The results of the classification accuracy of both Ohlson’s model and …

… Abstract:This study separated the effects of climate change and soil and … using runoff and
precipitation data during 1956-2004 by building double mass curve model based on using …

… Thus, the purpose of the present study is to explore peer review activities under synchronous
and asynchronous environments by examining features of negotiations and their impacts …

… classification rate and ROC curve were used to evaluate the model. Results: Misclassification
rate of the model training … The area under ROC curve was greater than 0.5, which indicated …

… environmental factors in the loess region using machine learning.[Method]Classification and
regression tree (CART), … The area under the receiver operating characteristic (ROC) curve (…

… 因素的研究-Study on the application of classification tree model in … The classification tree
model was constructed using … Risk statistics and the area under the ROC curve. Results 9 out of …

… model and decision tree model were … learning model and fibrosis index based on the 4
factor (FIB-4) were evaluatedaccuracy, the area under the receiver operating characteristic curve (…