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iam-abbas / ML-FromScratch

Machine Learning Algorithms implemented in various languages from scratch
MIT License
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Implementing Random Forest Classifier from Scratch #78

Closed alakh1603 closed 4 years ago

alakh1603 commented 4 years ago

Random forests or random decision forests are an ensemble learning method for classification, regression, and other tasks that operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the classes or mean/average prediction of the individual trees. Added the implementation of the same

alakh1603 commented 4 years ago

i could not remove the first commit