Kastalia Knowledge Management System · Glasperlenspiel template · knot 1666
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.
Ancestors (1 superordinated path)
root/
baumhaus.digital/
Art, Cognition, Education/
Human and Machine Learning/
Supervised learning/
Classifiers/
Decision Trees
Descendants (at least 2 branches originate here)
-
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 w
-
is_parent Exercicio: AI Unplugged 1 ·
You will form teams of two and use the training data to develop criteria for distinguishing biting from non-biting monkeys. These must be clearly noted so that
-