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[帮助文档] 机器学习线性支持向量机算法组件的配置及示例

支持向量机SVM（Support Vector Machine）是基于统计学习理论的一种机器学习方法，通过寻求结构风险最小化，提高学习机泛化能力，从而实现经验风险和置信范围最小化。本文介绍线性支持向量机算法组件的配置方法及使用示例。

【机器学习】GBM和随机森林都是基于树的算法，它们有什么区别？

RF采用bagging技术做出预测；GBM采用boosting技术做出预测bagging技术，数据集采用bootstrap随机采样的方法被划分为n个样本，对多棵树的结果进行加权或者取平均；boosting在第一轮预测之后，增加分类出错的样本权重，减小错误率高的基学习器（树）的权重&#x...

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【机器学习】GBM和随机森林都是基于树的算法，它们有什么区别？

GBM和随机森林都是基于树的算法，它们有什么区别？RF采用bagging技术做出预测；GBM采用boosting技术做出预测bagging技术，数据集采用bootstrap随机采样的方法被划分为n个样本，对多棵树的结果进行加权或者取平均；boosting在第一轮预测之后，增加分类出错的样本权重&am...

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更新时间 2023-04-11 16:02:17

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