In decision tree classification, which of the following statements is true regarding the determination of feature splits?

Group of answer choices

All of these choices are true.

None of these choices are true.

Decision trees use a greedy approach, selecting feature splits that result in the greatest information gain or purity improvement at each node.

Decision trees consider all possible combinations of feature splits to find the optimal separation between classes.

Decision trees always select feature splits that maximize the separation between classes in the training data.

Decision trees prioritize feature splits based on their correlation with the target variable, ensuring the highest predictive accuracy.