A decision tree diagram with a root node labeled with specific values and entropy. The tree splits into two main branches based on a condition. The left branch further splits into two sub-branches, each leading to nodes labeled with different values, entropy, and sample sizes. The right branch also splits into two sub-branches, each leading to nodes labeled with different values, entropy, and sample sizes. Each node contains specific values, entropy, sample sizes, and class labels.