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A more robust Random Forest tool with two minor additions...

randomForest

 

 

Random forest doesn't go well with missing values and create gibberish error results for Alteryx users.

 

Here are two quick options better to add the new version;

1) na.omit, which omits the cases form your data when tere a re missing values... you loose some observations though...

 

na.action=na.omit

 

2) na.roughfixreplaces missing values with mean for continuous and mode for categorical variables

 

na.action=na.roughfix

Best

 

2 Comments
Community_Admin
Alteryx
Alteryx
Status changed to: Inactive
 
Community_Admin
Alteryx
Alteryx

The status of this idea has been changed to 'Inactive'. This status indicates that:

 

1. The idea has not had activity in the form of likes or comments in over a year.

2. The idea has not reached ten likes.

3. The idea is still in the 'New Idea' status. 

 

However, this doesn't mean your idea won't be implemented! The Community can still like and comment on this idea. With enough renewed interest, this idea can be brought back into the 'New Idea' status. 

 

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