Thus, to run Mahout's classifier, you need to first train the model and then use that model to classify new content.
因此，要运行Mahout的分类器，您首先需要训练模式，然后再使用该模式对新内容进行分类。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。
When a new data fed into the integrated model, a classifier will deliver the new data into different non-linear local ANN model.
当新的信息进入该模型时，首先用分类器判别其类别，以确定用混合模型中的何种局部模型加以模拟。
Experimental results show that the new classifier model speeds up the test speed and improves the classification accuracy.
应用结果表明，该方法能加快测试速度，提高分类精度。
Experimental results show that the new classifier model speeds up the test speed and improves the classification accuracy.
应用结果表明，该方法能加快测试速度，提高分类精度。
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