how to find the best split for a decision tree how do i find the best split in single labeling? what is the purpose of a vector in a decision tree can a single label be used in decision trees? how do you find optimal split in a decision tree how to find best split in a decision tree what is the difference between vector and vector in a decision tree predicting a single label is called how to find best split in a decision tree how to find the best split on labels how to find best split in decision tree how to find best split in a decision tree with vectors how to find best split in decision tree what is the variance of a label vector which is better split in multi label or single label? how to find best split how to find optimal split in decision trees what is a vector in a decision tree? what type of learning is multi label which is better, a vector or a formula?