minor...

modules/deeplearning/icing_cnn.py

@@ -617,8 +617,12 @@ class IcingIntensityNN:
                 for mini_batch in ds:
                     self.test_step(mini_batch)
 
-            print('loss, acc, auc, recall, precision: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy(),
-                  self.test_auc.result().numpy(), self.test_f1.result().numpy(), self.test_recall.result().numpy(), self.test_precision.result().numpy())
+            recall = self.test_recall.result().numpy()
+            precsn = self.test_precision.result().numpy()
+            f1 = 2 * (precsn * recall) / (precsn + recall)
+
+            print('loss, acc, auc, recall, precision, f1: ', self.test_loss.result().numpy(), self.test_accuracy.result().numpy(),
+                  self.test_auc.result().numpy(), self.test_recall.result().numpy(), self.test_precision.result().numpy(), f1)
             print('--------------------------------------------------')
             ckpt_manager.save()