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Thibault Cordier
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MAJ: dataset naming
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examples/regression/2-advanced-analysis/plot_nested-cv.py

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*out-of-fold* models and *P* the number of parameter search cross-validations,
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versus :math:`N + P` for the non-nested approach.
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Here, we compare the two strategies on the Boston dataset. We use the Random
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Here, we compare the two strategies on a toy dataset. We use the Random
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Forest Regressor as a base regressor for the CV+ strategy. For the sake of
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light computation, we adopt a RandomizedSearchCV parameter search strategy
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with a low number of iterations and with a reproducible random state.

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