这个模型可用于任何未知的数据实例，来预测这个未知数据实例是否通过只询问两个简单问题就能理解分类树。
This model can be used for any unknown data instance, and you are able to predict whether this unknown data instance will learn classification trees by asking them only two simple questions.
第二种技术是分类（即分类树或决策树），用来创建一个实际的分支树来预测某个未知数据点的输出值。
The second was classification (also known as classification tree or decision tree), which can be used to create an actual branching tree to predict the output value of an unknown data point.
如果您的消息网络非常小，您可能想知道如何预测从现在开始的一年内将需要哪些分类服务。
If your messaging network is small, you might be wondering how to anticipate which classes of service you will need a year from now.
图12：资产所需要的命名约定和分类是用来让存储库专业人员增加一致性，从而增加资产组织的可预测性。
Figure 12: Naming conventions and classification required of assets are intended for the repository practitioners to increase consistency and thereby predictability of asset organization.
新的数据没有分类别（这里是指还没有做过心脏病检查），评价过程根据挖掘模型将一个预测赋给每个新的记录。
The new data has no classification (in this case, no checks on heart disease have been made) and the scoring process assigns a prediction to each new record according to the mining model.
帕亚克说：“为了预测2011年的热词，我们分析了所监测的分类，然后从多种全球趋势的代表词汇中做出选择。”
"To project possible top words for 2011, we analyzed the categories that we monitor and then chose words from each representative of various world trends," Payack said.
文中评述了森林可燃物分类、可燃物模型及其预测研究的现状，并简述了我国森林可燃物研究存在的问题与发展趋势。
This paper discussed the current status of the study on classification, modeling and prediction of forest fuel, and presented briefly the weakness and development tendency of the study on forest fuel.
这样的预测令人担忧，这是在评价近地天体（NEO）撞击危险程度的 “托里诺分类表”（THETORINOIMPACT HAZARDSCALE）中第一次有小行星进入“4级”（译注：该分类表最高为10级）。
This estimate was alarming; it was the first time an asteroid had been promoted to "Level 4" on the Torino Scale -- a near-Earth object (NEO) impact hazard categorization method.
用SETI@home找寻异形；用climateprediction.net（气候预测网站）模拟气候；用星系园给星系分类
Searching for aliens with SETI@home; modelling the climate with climateprediction.net; sorting galaxies with Galaxy Zoo
至今已经提出了决策树的很多算法，通过分析已知的分类信息得到一个预测模型。
So far, there are many algorithms have been given and we can gain a prediction model by analyzed known catalog information.
然后基于支持向量机进行分类建模和预测过程。
Then, we implement classification modeling and forecast based on SVM.
文章针对蛋白质二级结构预测这一复杂非线性模式分类问题，提出了基于径向基函数的预测方法。
Aiming at solving the complicated non-linear pattern classification problem of protein secondary structure prediction, a new method based on radial basis function is proposed.
监督式分类器使用标签训练语料库来构建模型，预测基于特定要素输入的所输入的标签。
Supervised classifiers use labeled training corpora to build models that predict the label of an input based on specific features of that input.
各种模式各有侧重，其中有一些已经研究得较为成熟，研究成果也较多，如挖掘关联规则、预测方法和分类模式中的一些其他方法。
Each mode has its own emphasis, among them, there are some already studied modes have much more research outcome, such as some methods in association rule mining, classification and forecast mode.
为提高训练的收敛速度，预测时，可通过将负荷分类的方式简化模型。
When forecasting, it may simplify the model by means of load classification to raise the convergence rate.
人工神经网络与气体传感器相结合，用于识别、分类、诊断和预测，将进一步提高气体检测系统的智能水平。
Artificial neural network together with gas sensors, which is applied to identification, classification, diagnosis and prediction, will further improve the intelligence of gas detection system.
然后基于支持向量机进行分类建模和预测。
Then, we realize classification modeling and forecasting test based on SVM.
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.
研究动机：胃食道皮瓣可区分为四级。而这种分类系统，可以预测胃食道逆流疾病的发生率。
Objectives: Gastroesophageal flap valve can be divided into a four-grade system and this system can well predict the prevalence of gastroesophageal reflux disease.
通过对决策树算法的深入分析，我们围绕着C4.5决策树生成算法建立了一个分类预测系统并实现了与劳动力市场信息管理系统（LMIS）的集成。
With the thorough analysis on the algorithm of decision tree induction, we established a classification and prediction system based on C4.5 and accomplished the integration with the LMIS system.
数据分类和预测是两种数据分析形式，可以用于提取描述重要数据类或预测未来的数据趋势模型。
Data classification and prediction is the two forms of data analysis, can be used to extract important data to describe or predict the future trend of the data model.
进行销售预测，运动预测，医疗分类，以类无限多。
Perform sales forecasting, sports predictions, medical classification, and much more with NeuroSolutions Infinity.
方法：建立药品二级库存储模式，实行药品分类管理，预测药品的需求，运用库存模型定量计算补货批量。
METHODS:A second order medicine inventory model was built to realize medicine classifying management and drug demand forecasting, and replenishment quantities was computed using inventory model.
数据挖掘面对的任务是复杂的，通常包括分类、预测、关联规则发现和聚类分析等。
Data mining always faces complicated tasks that including classification, prediction, association rule discovering and clustering, etc.
然后进行基于支持向量机的分类建模和预测。
Then, classification modeling and forecasting test based on SVM are put in practice.
同时也是将分类器组合技术应用到交通预测领域的有益尝试。
At the same time this paper is also a beneficial trying on the application of classifiers combination technology in the traffic prediction field.
在生物统计以及数据挖掘中，分类预测是最基本的任务之一。
Classification is one of the most basic tasks during the biological statistics and data mining.
分类可用于预测。
提出采用时序逻辑系统描述故障的概念，推演故障的性质和相互关系，对故障进行分类，并预测将要发生的故障。
The temporal logic system is proposed to describe the concepts of faults, inter the attributes of faults with their correlation and classes, and predict what faults will happen.
在分类挖掘的预处理过程中，重要的是如何选择最有效的特征子集，以便于分类学习与预测。
During the preprocessing of classification, it is important to select feature subset effectively, in order to classification learning and predicting.
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