When combining predictions from multiple methods by averaging, when will the gain be largest, compared to using
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Question:
When combining predictions from multiple methods by averaging, when will the gain be largest, compared to using a single method: when the prediction errors from the different methods are uncorrelated, positively correlated, or negatively correlated? Explain.
Can you construct a small numerical example demonstrating your answer?
Related Book For
Business Intelligence And Analytics Systems For Decision Support
ISBN: 9781292009209
10th Global Edition
Authors: Efraim Turban, Ramesh Sharda, Dursun Delen, Pearson Education Limited, Dennis G. Zill
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