Closed Vedant-R closed 2 years ago
I understand that the sklearn random forest models prediction probabilities are not calibrated and we need to add steps in between to calibrate it.
Just wanted to understand if the prediction probabilities of yggdrasil-decision-forests are calibrated?
If not, how can be calibrate it?
See the answer to this question on TF-DF: https://github.com/tensorflow/decision-forests/issues/71
I understand that the sklearn random forest models prediction probabilities are not calibrated and we need to add steps in between to calibrate it.
Just wanted to understand if the prediction probabilities of yggdrasil-decision-forests are calibrated?
If not, how can be calibrate it?