Random Forests
  • 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: