Answer Happy

You trained a decision tree for a binary classification problem. You reported a low training classification error, but an extremely large classification testing error. You also checked out other classification algorithms and most of them perform much better than the tree model What could be the cause of this problem? (Check all that apply) Decision tree is too deep There is too much training data Decision tree is overfitting There is too much testing data