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import numpy as np import matplotlib.pyplot as plt index = 0 missClassifiedIndexes = [] for label, predit in zip(y_test, predictions): if label != predict: missClassifiedIndexes.append(index) index = +1

Naughty Newt answered on February 5, 2022 Popularity 1/10 Helpfulness 1/10

answer import numpy as np import matplotlib.pyplot as plt index = 0 missClassifiedIndexes = [] for label, predit in zip(y_test, predictions): if label != predict: missClassifiedIndexes.append(index) index = +1

import numpy as np import matplotlib.pyplot as plt index = 0 missClassifiedIndexes = [] for label, predit in zip(y_test, predictions): if label != predict: missClassifiedIndexes.append(index) index = +1

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import numpy as np
import matplotlib.pyplot as plt
indox = 0
missClassifiedIndexes = []
for label, predit in zip(y_test, predictions):
    if label != predict:
        missClassifiedIndexes.append(index)
        index = +1

Popularity 1/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: import label np numpy plt python

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Contributed on Feb 05 2022

Naughty Newt

0 Answers Avg Quality 2/10

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import numpy as np import matplotlib.pyplot as plt index = 0 missClassifiedIndexes = [] for label, predit in zip(y_test, predictions): if label != predict: missClassifiedIndexes.append(index) index = +1

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import numpy as np import matplotlib.pyplot as plt index = 0 missClassifiedIndexes = [] for label, predit in zip(y_test, predictions): if label != predict: missClassifiedIndexes.append(index) index = +1

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