Node Purity is a measure of how well a node in a Decision Tree represents a Single class, with Higher purity indicating that the node predominantly contains Instances of one class. It is crucial for evaluating the Effectiveness of splits in Decision Trees, impacting the Model's Accuracy and Generalization ability.