回答編集履歴
1
一部修正
answer
CHANGED
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@@ -15,11 +15,11 @@
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15
15
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ap = []
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16
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for i in range(1000):
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y_true = np.random.randint(0, 2, SIZE)
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18
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-
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18
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+
y_score = np.random.normal(0, 1, SIZE)
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-
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y_pred = np.where(y_score > 0.5, 1, 0)
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20
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-
prec.append(precision_score(y_true,
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prec.append(precision_score(y_true, y_pred))
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recall.append(recall_score(y_true,
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recall.append(recall_score(y_true, y_pred))
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ap.append(average_precision_score(y_true,
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+
ap.append(average_precision_score(y_true, y_score))
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_, ax = plt.subplots(1, 3)
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ax[0].scatter(prec, recall, marker='.')
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