![]() Gini Impurity is at the heart of classification trees its value is calculated at every split, and the smaller number we get, the better. ![]() (The formula has another version too, but it’ll yield the same results.) zebra) in the most effective way possible.ġ - (the probability of belonging to the first category) 2 - (the probability of belonging to the second category) 2 It helps determine which questions to ask in each node to classify categories (e.g. Gini Impurity is one of the most commonly used approaches with classification trees to measure how impure the information in a node is. Gini what? What is Gini Impurity and how to calculate it? You can try to come up with a solution yourself, but there’s an approach classification trees use to solve problems like this. What questions should your cousin ask from the zookeepers to asap identify the animals? But they have very limited knowledge about them: if it’s a dangerous tiger, they capture it with a special net (then take it back to the tigers).įor understandable reasons, your cousin wants to identify all animals as soon as possible.if it’s a normal tiger, they entice it back to its place with a meatball,.if it’s a zebra, they lure it back to its place with grass,.If they see one, they immediately call your cousin in the headquarters to ask what they should do with the animal: Zookeepers are out searching for the escaped animals. Here’s the problem: some tigers are dangerous, because they are young and full of energy, so they would love to hunt down the zebras (the older tigers know they regularly get food from the zookeepers, so they don’t bother hunting). Now imagine a situation where some of the tigers and zebras break loose. Let’s also say your cousin is really bad at animals, so they can’t tell zebras from tigers apart. Let’s say your cousin runs a zoo housing exclusively tigers and zebras. Install Anaconda on your local computerĪ warmup thought experiment to classification trees.Get your own data server and install the most popular data science libraries.If you don’t have your Python environment for data science, go with one of these options to get one: Also, install matplotlib, pandas, and scikit-learn so you can seamlessly code along with me. You can’t get enough of decision trees, can you? □ If coding regression trees is already at your fingertips, then you should definitely learn how to code classification trees – they are pure awesomeness! Not only that, but in this article, you’ll also learn about Gini Impurity, a method that helps identify the most effective classification routes in a decision tree.Ī few prerequisites: please read this and this article to understand the basics of predictive analytics and machine learning.
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