Coefficient of entropy

The coefficient of entropy measures the unpredictability or randomness in a dataset. Think of it as a way to assess how evenly distributed different categories are; higher entropy indicates more disorder or uncertainty, while lower entropy suggests more predictability. For example, in a bag of candies, if all candies are alike, entropy is low. If there’s a mix of many types evenly spread out, entropy is high. In data analysis, this helps determine the impurity or diversity within groups, which is valuable for making informed decisions, such as in building decision trees or understanding complex systems.