DecisionTreeClassifier(
时间: 2024-04-07 12:21:12 浏览: 47
DecisionTreeClassifier
The DecisionTreeClassifier is a machine learning model used for classification tasks. It works by recursively partitioning the training data into subsets based on the values of input features, and constructing a tree where each node represents a decision based on the value of a feature. The final nodes of the tree represent the predicted class labels for the given input data. The model is trained using a dataset with known class labels, and can be used to predict the class label for new, unseen data. The DecisionTreeClassifier is a popular and widely used model in machine learning due to its simplicity and interpretability.
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