baumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Classifiers/Decision Trees
A Decision Tree is a visual and intuitive machine learning method that makes decisions by asking questions about the data. It works like a flowchart, starting with a question at the top and branching out based on answers. These questions are not just yes/no, but can also be comparisons, like "Is the age greater than 18?" or "Is the temperature below 30°C?" Each split is chosen using a quantitative measure, such as information gain or Gini impurity, to find the best threshold for separating the data.
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this knot is_parent πbaumhaus.digital/Art, Cognition, Education/Human and Machine Learning/Supervised learning/Classifiers/Decision Trees/Exercicio: AI Unplugged 1
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