What is "Missing" in output of plot_tree API of XGBoost What this &quot;Missing&quot; term means here at each node after split in Image? and also what is at leaf, is this means prediction value? I converted Output variable to 1 and 0.
I tried searching on google, but didn't get the answer. Please help
The &quot;missing&quot; at the different nodes are the observations for which the feature on which the split is made is missing. E.g. if the value for TotalSubmissionGuidelines is below 0.5 or missing, then the observation follows the left path of the decision tree. XGBoost supports missing values by default and learns the branch direction during training, see the documentation.