Decision tree is a method used in data mining to create models for classification and prediction. The key techniques involved are selecting the best features for testing and pruning the tree. By comparing different classifiers, researchers have identified the main features of each algorithm, helping to choose or improve algorithms in data mining. An example in production demonstrates the practical application of decision tree.