True or false? Decision trees are only suitable for handling categorical data.A:    FalseB:    True

Which of the following is/are the advantages(s) of decision tree?A) It requires little data preparationB) It can handle both categorical and numerical dataC) A small change in the training data will result in a large change in the treeAnswer choicesSelect only one optionREVISITOnly AA and BB and CA and C

Choose whether true or false:  Decision tree cannot be used for clustering(1 Point)TrueFalse

Which of the following is NOT a characteristic of decision trees?A:    Unlikely to overfit dataB:    Resistant to outliers and requires minimal data preprocessingC:    Easy to understand and interpretD:    Can handle both categorical and numerical data

What is a significant disadvantage of decision trees?Answer areaThey are difficult to interpretThey require a lot of dat preprocessingThey are prone to overfittingThey are not suitable for categorical data

Choose a disadvantage of decision trees among the following.