Random Forest Learner Input

I’m trying to run a simple RF to classify a dataset. This is my workflow knime

Any ideas? My dataset have target value (integer)

Hi @ersan,

The Random Forest Learner node trains a classification model, i.e., it expects a categorical target column (usually a String). Does your target column represent classes encoded with integers? Then you might use the Number to String node to convert it to a String column. Or do you actually want to train a regression model? Then you need to use the Random Forest Leaner (Regression) node.

I hope this helps,


Hi Simons,

yep - i have the labels which were represented as integer (now i converted them to string) and trying to predict the label, given features (vector)

I am python based engineer so i’m trying to figure out knime editor, i’m newbie in this context :slight_smile:

thanks for the help,


An example of how to build a simple classification workflow can be found here: https://hub.knime.com/knime/workflows/Examples/04_Analytics/04_Classification_and_Predictive_Modelling/07_Decision_Tree*wjBRbBRnIy6fu4gw

If you want to use random forests, you need to adapt the workflow by replacing the Decision Tree Learner and Predictor nodes with the corresponding Random Forest nodes.


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