与我们在之前文章的回归和分类模型中所做的类似，我们接下来应该选择Classify选项卡。
Like we did with the regression and classification model in the previous articles, we should next select the Classify TAB.
对于每一个分类，架构师和设计人员既可以选择这些缺省模型中的一个也可以混合和匹配他们以达到特定的结果。
For each category, architects and designers can either choose one of these default patterns or mix and match to achieve a specific result.
该文介绍了随机决策树分类模型及如何启发式选择随机决策树的深度及棵树，通过实验证明了该算法的有效性和高效性。
This paper introduces the classification model of random decision tree and how to heuristic selected the depth and the number, the experiment shows that the algorithm is effectiveness and efficiency.
在实际预测时，要对实时数据进行判别分类，选择对应的模型进行预测输出。
In actual forecasting, we must classify real-time data, choice the corresponding model to predict network output.
在这个研究领域里，基于基因表达数据的样本分类扮演着很重要的角色，它一般具有两个关键步骤：基因选择和分类模型设计。
In these research areas, sample classification based on gene expression data is acting a very important role, it generally has two pivotal steps: gene selection and Classifier design.
他的兴趣包括分类数据的统计模型、推荐系统，以及网站展示内容的最佳选择。
His interests include statistical models for categorical data, recommendation systems, and optimal choice of Web site display components.
客户细分模型是指选择一定的细分变量，按照一定的划分标准对客户进行分类的方法。
Customer segmentation model refers to a model that classifying customers by selected segmentation variables, on certain standard.
介绍了支持向量机的变形算法、多类分类算法及模型选择问题；
The transformative algorithm based on SVM, multi-class SVM and model selection are also presented.
运用数据挖掘分类技术于信用评分问题包括一个建立模型以及选择最优模型的过程。
The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.
所以你需要一个训练集没有异常值，异常值与参数选择的验证数据集，和一个最终的测试数据集的分类看你的模型概括。
So you will need a training dataset without outliers, a validation dataset with outliers for choosing parameters, and a final test dataset with classifiers to see whether your model generalizes.
本文选择位于西部地区的大型城市西安作为研究对象，利用遥感影像分类的方法和模型预测的原理进行研究。
In the paper , Xi'an city which is one of the biggest city in west of China, is selected as a typical area for this case study.
入侵检测问题实际上是一个分类问题，特征选择的好坏直接决定了分类模型的性能。
Intrusion detection is a classification issue, performance of classification model is determined by feature selection.
摘要：为了提高SVM的分类器性能，提出使用蚁群算法来指导s VM模型参数的选择，并针对采用RBF作为核函数的SVM进行了实验。
Absrtact: in order to improve the performance of classifiers of SVM, this paper introduces ant colony algorithm to guide the selection of SVM model parameters with RBF kernel.
摘要：为了提高SVM的分类器性能，提出使用蚁群算法来指导s VM模型参数的选择，并针对采用RBF作为核函数的SVM进行了实验。
Absrtact: in order to improve the performance of classifiers of SVM, this paper introduces ant colony algorithm to guide the selection of SVM model parameters with RBF kernel.
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