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fix linting
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examples/classification/4-tutorials/plot_main-tutorial-classification.py

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# We will use MAPIE to estimate a prediction set of several classes such
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# that the probability that the true label of a new test point is included
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# in the prediction set is always higher than the target confidence level :
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#``P(Yₙ₊₁ ∈ Ĉₙ,α(Xₙ₊₁)) ≥ 1 - α```
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# ``P(Yₙ₊₁ ∈ Ĉₙ,α(Xₙ₊₁)) ≥ 1 - α```
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# We start by using the softmax score output by the base classifier as the
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# conformity score on a toy two-dimensional dataset.
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#

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