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Random forest is a machine-learning method based on combining the outputs of many decision trees.

0 votes
1 answer
190 views

Selecting the best features for random forest training

By trial and error I found that my random forest regressor from sklearn is giving higher RMSE when I add features to training. Also the importance of features is changing in each addition of feature. …
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  • 131
2 votes
0 answers
17 views

Random forest visualization Python [duplicate]

For a dataset I ran a random forest model with sikit learn. When I checked important variables from RF , I was unable to understand the reason for choosing that variable as important. In my understan …
Chinti's user avatar
  • 131