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Tree-Based Models
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Decision trees
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166.
Decision Tree Prediction Mechanism
easy
How does a decision tree make a prediction for a new data point?
A
It routes the input through a series of binary splits until it reaches a leaf node whose value is the prediction
B
It selects the training example most similar to the input and returns its label as the prediction
C
It applies a linear combination of features and passes the result through a threshold function
D
It computes a weighted average of all training examples based on their distance to the input point
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