minor...

modules/deeplearning/icing_cnn.py

@@ -664,7 +664,7 @@ class IcingIntensityNN:
             fn = self.test_false_neg.result().numpy()
             fp = self.test_false_pos.result().numpy()
 
-            mcc = (tp*tn) - (fp*fn) / np.sqrt((tp+fp)*(tp+fn)*(tn+fp)*(tn+fn))
+            mcc = ((tp*tn) - (fp*fn))/np.sqrt((tp+fp)*(tp+fn)*(tn+fp)*(tn+fn))
 
             print('loss, acc, recall, precision, auc, f1, mcc: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy(),
                   recall, precsn, self.test_auc.result().numpy(), f1, mcc)