项目描述 ：
In this repository we evaluate the performance of Stochastic Boosting and Traditional Boosting methods in two ways. The first is through evaluating the amount of data needed for each method to effectively generalize the classification problem. The second is effect of increasing the complexity of Weak Learner. How does a Weak Learner perform as it becomes for complex? Is it still able to generalize the classification problem in the same number of epochs?

高级语言： Jupyter Notebook

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项目地址: git://github.com/thomaswsu/Stochastic-Gradient-Boosting-and-Adaboost.git

创建时间： 2020-11-12T21:34:34Z
项目社区：https://github.com/thomaswsu/Stochastic-Gradient-Boosting-and-Adaboost
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