ValueError: Found input variables with inconsistent numbers of samples: [13, 26]

Question

This is my predictions outcome

array([[1., 0., 0.],
   [0., 1., 0.],
   [0., 1., 0.],
   [0., 1., 0.],
   [0., 1., 0.],
   [0., 0., 1.],
   [0., 1., 0.],
   [0., 0., 1.],
   [0., 1., 0.],
   [0., 0., 1.],
   [1., 0., 0.],
   [1., 0., 0.],
   [0., 1., 0.],
   [0., 0., 1.],
   [1., 0., 0.],
   [0., 0., 1.],
   [1., 0., 0.],
   [1., 0., 0.],
   [0., 1., 0.],
   [0., 0., 1.],
   [0., 1., 0.],
   [0., 1., 0.],
   [0., 1., 0.],
   [0., 1., 0.],
   [0., 0., 1.],
   [1., 0., 0.]], dtype=float32)

and this is the confusion_matrix() function

cm = confusion_matrix(test_labels, predictions[:,0])

My query is how this confusion_matrix() functions works and how to solve this issue? As I am a novice it will be really helpful if anyone can give me a little explanation. Thank you.

Answer 1

This is primarily due to the shape of the arrays not being similar. Please check the arrays with test_labels.shape etc. Then use the reshape method or split them properly so that the shapes match.