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
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