Decision tree learner seems to be overfitting
Hello. I seem to be having an issue with the decision tree learner node in KNIME. I have posted my workflow below so that it is easier to understand the issue. The confusion matrix seems to show that the target column is predicted to be just one type of classified data (as 1) but the actual data is classified into both 1 and 0. Thus, I think the model is overfitting. I changed the configuration options many times in the decision tree learner node but it did not fix the issue. Hope someone could help me out here. Thanks in advance!