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On any one test
case, some individual predictors will be
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better than the
combined predictor.
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But
different individuals will be better on different
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cases.
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If the
individual predictors disagree a lot, the combined
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predictor is
typically better than all of the individual
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predictors when
we average over test cases.
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So
how do we make the individual predictors
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disagree?
(without making them much worse
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individually).
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