How to Calculate Gini Index in Decision Tree

Decision trees are powerful tools in data science and machine learning and they are renowned for their intuitive representation of complex decision-making processes. When constructing a decision tree, it needs to determine the optimal splitting criteria for each node. This is a task that can be facilitated by impurity measures such as the Gini index. … Read more

Decision Tree Gini vs Entropy

In machine learning, decision trees are some of the most popular algorithms enabling machine learning engineers and data scientists to solve complex problems. At the heart of this algorithm lies the concept of impurity measures, such as Gini impurity and entropy, which serve as guiding lights in the decision-making process. By examining the distribution of … Read more