Hello, I’m relatively a newbie in KNIME and ML, however, I have successfully built several workflows now, and understand the basics. My problem might be a bit more advanced for my level, however, based on what amazing stuff you can do with KNIME, I thought this should be possible. My workflow uses random forest to predict which employees will leave the company. It works as it should with a solid level of accuracy, but it would be even better to include the percentage of how likely an employee will resign. I only have the prediction and the confidence for now and I didn’t find any post or workflow which does this. Also, I was able to extract the importance of each feature, but somehow still missing why each line has that prediction, so why it’s 1 and why 0. I would really appreciate if you could help me with this. Best, Andras

Random forest risk and reason to churn/terminate

mlauber71 March 28, 2019, 8:31pm 2

You can get a 0-1 score typically by activating an additional setting in most predictor nodes.

If you are interested in interpreting model performances beyond the true/false prediction you can find an example here:

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Training Score