CODEWITHSUNDEEP
pythonarraysnumpyscikit-learn
Garch2017
Garch2017

Reputation: 61

sklearn.metrics.confusion_matrix - TypeError: 'numpy.ndarray' object is not callable

I seem to be getting an error when calling confusion_matrix, please see below. How can I get this to work?

from sklearn.metrics import confusion_matrix
confusion_matrix = confusion_matrix(normalisedArr_y5,predicted5)

Upvotes: 5

Views: 12622

Answers (3)

Aneez Ahmed
Aneez Ahmed

Reputation: 123

In my case, I was defining

normalisedArr_x5 = df.iloc[:,:-1]

and

normalisedArr_y5 = data.iloc[:,-1:]

and this Error was coming.

So just check if both the dataframe variables are the same (here df) and perform the steps again @Garch2017

Upvotes: 0

J. Doe
J. Doe

Reputation: 3634

1 Be sure that both values are np arrays or lists as specified by @Roelant
2 do not assign to your variable's name the same name as the function name

from sklearn.metrics import confusion_matrix
cfm = confusion_matrix(normalisedArr_y5,predicted5)
print(cfm)

Upvotes: 2

Roelant
Roelant

Reputation: 5119

Both normalisedArr_y5 and predicted5 should be np.arrays or lists. Apparently one or both are not. You could try:

confusion_matrix = confusion_matrix(normalisedArr_y5.tolist(),predicted5.tolist())

Upvotes: 1

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