In this video we build a random forest classifier in python to predict the chances of a person being prone to alcohol or substance use.
Random forests do generalize well on the data
Trees are themselves not interpreted and the entire forest is interpreted.
Initially we start with 25 tress and then print an accuracy vs no. of trees to determine the best amount of trees in the forest.
In detail explanation : https://mlhackerblog.wordpress.com/20...
Code and dataset : https://github.com/AdityaPai2398/Rand...
Accuracy Achieved : 85%
Built in PYTHON 3
F.A.Q
1) This is shit,why did you build this?
Ans : I was bored.
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