CODEWITHSUNDEEP
pythonmachine-learningconfusion-matrixargmax
Asma Mekki
Asma Mekki

Reputation: 57

How to fix the error "Singleton array cannot be considered a valid collection"

I'm starting my first machine learning code with python. But, I encountered an error while developing the confusion matrix for my multiclass model.

#Defining the model 

model = Sequential()

model.add(Dense(32,input_shape=(22,),activation='tanh'))
model.add(Dense(16,activation='tanh'))
model.add(Dense(6,activation='tanh'))
model.add(Dense(5,activation='softmax'))

model.compile(Adam(lr=0.004),'sparse_categorical_crossentropy',metrics=['accuracy'])

#fitting the model and predicting 

model.fit(X_train,Y_train,epochs=1)

Y_pred = model.predict(X_test)

Y_pred = Y_pred.astype(int)

Y_test_class = np.argmax(Y_test, axis=0)
Y_pred_class = np.argmax(Y_pred, axis=0)

#Accuracy of the predicted values

print(metrics.classification_report(Y_test_class,Y_pred_class))
print(metrics.confusion_matrix(Y_test_class,Y_pred_class))

I'm getting this error:

TypeError: Singleton array 3045 cannot be considered a valid collection.

Test data details X_test[:5]

[['0' '1' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0'
  '0' '1' '0' '0']
 ['1' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0'
  '0' '0' '0' '0']
 ['1' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0'
  '0' '0' '0' '0']
 ['0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0'
  '0' '0' '0' '0']
 ['0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0' '0'
  '0' '1' '1' '0']]

Y_test[:5]

['1' '2' '2' '2' '2']

The shape of

Y_test_class ==> ()
Y_pred_class ==> (5,)

Upvotes: 2

Views: 4954

Answers (1)

scottbaker
scottbaker

Reputation: 153

Have you looked at:

Multilabel-indicator is not supported for confusion matrix

Depending on if you're using OHE or a vector of labels, this might help.

Upvotes: 1

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