A new algorithm called IDX has been developed to create better decision trees. Unlike previous methods, IDX considers various factors like tree size, error rate, and classification cost to improve tree quality. By adjusting the algorithm's complexity, decision trees of different qualities can be generated. It's important to focus on quality during tree construction, as fixing mistakes later may not be effective. The algorithm's complexity, the reasoning behind it, and the results of experiments are discussed in the article.