sklearn metrics for multiclass classification

In your code, notice that the

  precision_score(y_test, y_pred)

is equivalent to

  precision_score(y_test, y_pred, pos_label=1, average='binary').

'binary':

Their report results for the class are specified by pos_label. This is applicable only if targets (y_{true,pred}) are binary.

To solve target is multiclass but average='binary'. please choose another average setting here labels are not binary, but probably one-hot encoded. There are other options which should work with your data:

For example:

  precision_score(y_test, y_pred, average=None)

will return the precision scores for each class, while

  precision_score(y_test, y_pred, average='micro')

will return the total ratio of tp/(tp + fp)

The pos_label argument will be ignored if you choose another average option than binary.