One-vs-Rest (OvR) AUROC
Each OvR AUROC compares one class with its own negative mixture. Interpret the mixture and finite-sample variation before comparing class scores.
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Multiclass AUROC
One-vs-rest or one-vs-one, macro or weighted or micro. Which combination produced the number matters more than the number.
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One-vs-Rest (OvR)
The five binary models gave probabilities summing to 1.0452, 0.9266, 1.0837 and 1.0159 on four test rows. predict_proba divides by the sum.