How can we create confusion matrix?

[AdeelMirza]

I am trying to make my custom model. And I want to generate a confusion matrix for that as accuracy is not a good measure for this data set. I am trying it by following code.

from sklearn.metrics import confusion_matrix
cm=confusion_matrix(X_dev,Y_dev)

But getting following error:-

ValueError                                Traceback (most recent call last)
<ipython-input-10-0dcf84d46f09> in <module>
----> 1 cm=confusion_matrix(X_dev,Y_dev)

~/anaconda3/lib/python3.7/site-packages/sklearn/metrics/classification.py in confusion_matrix(y_true, y_pred, labels, sample_weight)
    251 
    252     """
--> 253     y_type, y_true, y_pred = _check_targets(y_true, y_pred)
    254     if y_type not in ("binary", "multiclass"):
    255         raise ValueError("%s is not supported" % y_type)

~/anaconda3/lib/python3.7/site-packages/sklearn/metrics/classification.py in _check_targets(y_true, y_pred)
     86     # No metrics support "multiclass-multioutput" format
     87     if (y_type not in ["binary", "multiclass", "multilabel-indicator"]):
---> 88         raise ValueError("{0} is not supported".format(y_type))
     89 
     90     if y_type in ["binary", "multiclass"]:

ValueError: unknown is not supported

Will someone help me for this.