Fig. 2 Multivariate regression tree for associations classification.
图2群丛分类多元回归树。
For analysis of genomic data, regression tree approaches to the analysis of interactions between genes and between genes and the environment will be used.
对于基因数据，则采用回归树分析基因与基因之间、基因与环境之间的交互作用。
It is shown by the CART test that the classification and regression tree can satisfactorily accomplish the task of classification and prediction of the joint of welded spot.
CART测试结果表明，分类回归树可以较为满意地完成焊点接头强度的分类、预测任务。
Results Default arithmetic of regression tree can't be used directly under the condition of non-normal distribution, existence of outlier would make the problem more severity.
结果当应变量非正态分布时，直接应用现有回归树算法不能得出正确的分析结论；而当存在极端值时这一问题更为严重。
Conclusion Regression tree also has its application condition, these condition should be checked before analysis, correspond step should be applied when necessary.
结论虽然树模型是非参数分析方法，但回归树仍有其适用条件，在使用时需要对这些条件加以检查，必要时应采取相应的处理措施。
Conclusion Regression tree also has its application condition, these condition should be checked before analysis, correspond step should be applied when necessary.
结论虽然树模型是非参数分析方法，但回归树仍有其适用条件，在使用时需要对这些条件加以检查，必要时应采取相应的处理措施。
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