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是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
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逻辑回归是当前业界比较常用的机器学习方法,这个是PY实现的。-logistic regression model implemented in Python. Hope this helps.
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逻辑回归模型的实现，可以进行训练，预测，分类-Achieve logistic regression model can be trained, forecasting, classification
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机器学习中的一种对数据进行分类的模型，非常好用，可以运行，推荐下载。(A machine learning model for data classification, very easy to use, you can run, it is recommended to download.)
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建立一个逻辑回归模型来预测一个大学生是否被大学录取(Establish a logistic regression model to predict whether a college student will be admitted to a university)
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