Decision trees are a learning system, and like all other tools, it has pros and cons. They are designed for state spaces where data can be easily divided up at

Decision trees are a learning system, and like all other tools, it has pros and cons. They are designed for state spaces where data can be easily divided up at each branching point, thus, they do not handle stochastic domains very well compared to something like a Bayesian network. There is no silver bullet in data mining/machine learning.