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Decision Tree
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Data
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training data ratio:
XX
%
Noise:
XX
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Output
Predictions:
# of votes
class -1:
class 1:
Predictions of 16 random trees:
Colors show data values.
Metrics
Train
Test
Parameters
Problem type
Classification
Regression
Samples:
XX
%
Trees:
XX
Max depth:
XX
Show test data
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