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数据挖掘中分类算法贝叶斯算法，用于二分类问题-Data mining classification algorithm of bayesian algorithm is used for binary classification problem
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Multilabel是一个分类算法，数据集生成具有一定规则性；规则如下：
pick the number of labels: n ~ Poisson(n_labels)
n times, choose a class c: c ~ Multinomial(theta)
pick the document length: k ~ Poisson(length)
k times, choose a word: w ~ Multinomial(theta_c)-This exampl
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支持向量机是针对多种数据需要分类的问题，通过训练数据特征，然后再在其基础上面进行测试识别。-Support vector machine is needed for a variety of data classification problem, characterized by the training data, then the basis of the above test its recognition.
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用python决策树分类问题：预测销量量的高低问题(Decision tree classification problem using Python: forecasting the volume of sales)
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