Support Vector Machines (SVMs)
predict() and predict_proba() >= 0.5 disagreed on 25 of 3,000 training rows, and the model kept 48.2% of them as support vectors.
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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.
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Model Score
A raw ranking value, or a performance metric. The same model can score 0.95 in one sense while being no better than a constant rule.