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print labels on confusion_matrix

Xerothermic Xenomorph answered on April 17, 2020 Popularity 9/10 Helpfulness 6/10

answer print labels on confusion_matrix

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print labels on confusion_matrix

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unique_label = np.unique([y_true, y_pred])
cmtx = pd.DataFrame(
    confusion_matrix(y_true, y_pred, labels=unique_label), 
    index=['true:{:}'.format(x) for x in unique_label], 
    columns=['pred:{:}'.format(x) for x in unique_label]
)
print(cmtx)
# Output:
#           pred:no  pred:yes
# true:no         3         0
# true:yes        2         1

Popularity 9/10 Helpfulness 6/10 Language python

Source: stackoverflow.com

Tags: python

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Contributed on Apr 17 2020

Xerothermic Xenomorph

0 Answers Avg Quality 2/10

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print labels on confusion_matrix

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import pandas as pd
cmtx = pd.DataFrame(
    confusion_matrix(y_true, y_pred, labels=['yes', 'no']), 
    index=['true:yes', 'true:no'], 
    columns=['pred:yes', 'pred:no']
)
print(cmtx)
# Output:
#           pred:yes  pred:no
# true:yes         1        2
# true:no          0        3

Popularity 9/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: python py

Link to this answer
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Contributed on Apr 17 2020

Xerothermic Xenomorph

0 Answers Avg Quality 2/10

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print labels on confusion_matrix

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