Predict: ROC AUC for perfect ranking

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← Courses›Data Science AppliedModule 4 · Causal Inference & A/B Testing›Predict: ROC AUC for perfect rankingpredict55 / 100

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Task

📝 **Question:** What ROC AUC does `roc_auc_score([0, 0, 1, 1], [0.1, 0.2, 0.7, 0.9])` return?

📋 Pick the right answer.

💡 **Hint:** Re-read the theory above if unsure.

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📊quiz

Class imbalance: weights vs SMOTE

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Selecting columns and rows

🤖predictFREE

Prerequisites — what you should know before this track

⚡predictFREE

Prerequisites — what you should know before this track

🔮 Predict the output

Read the code carefully

# Positives (label 1) got scores 0.7 and 0.9
# Negatives (label 0) got scores 0.1 and 0.2
# Every positive ranks ABOVE every negative → perfect ranking
print(1.0)

What will the program print? Write here:

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