Decision Tree, Supervised Learning, Python, R, Machine Learning.
predicting more than one output Disadvantages of Decision Trees Trees can become so complex hence will fail to generalize the data well. Lack of stability and small variations in the data, could result in a completely different tree generated. A decision tree creates a biased tree if some classes