Random Forests

• Category: Machine Learning
• Development language: Python 2.7
• Operating platform / Operating system: windows
• Compilation tools and environment: Spyder
• GitHub download path: https://github.com/Three-Poles/Machine-learning

Method description:

Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes (classification) or mean prediction (regression) of the individual tree.

Installation: online;

Dependent libraries: sklearn;

QR code:

• 依赖库文件：sklearn

  安装方式：在线安装

  二维码：