--- a
+++ b/src/hybrid/hybrid_test_results.py
@@ -0,0 +1,22 @@
+import numpy as np 
+import torch
+from src.utils import calculate_metrics
+
+
+def hybrid_test_results(model, hybrid_test_loader, icdtype, device):
+
+  model.eval()
+  with torch.no_grad():
+    model_result = []
+    targets = []
+    for rnn_x, cnn_x, batch_targets in hybrid_test_loader:
+      rnn_x = rnn_x.to(device)
+      cnn_x = cnn_x.to(device)
+
+      model_batch_result = model(rnn_x, cnn_x)
+      model_result.extend(model_batch_result.cpu().numpy())
+      targets.extend(batch_targets[icdtype].cpu().numpy())
+
+  result = calculate_metrics(np.array(model_result), np.array(targets))
+  print('-'*10 + icdtype + '-'*10)
+  print(result)
\ No newline at end of file