--- a
+++ b/src/test_results.py
@@ -0,0 +1,18 @@
+import numpy as np 
+import torch
+from src.utils import calculate_metrics
+
+def test_results(model, test_loader, icdtype, device):
+
+  model.eval()
+  with torch.no_grad():
+    model_result = []
+    targets = []
+    for x_test, batch_targets in test_loader:
+      x_test = x_test.to(device)
+      model_batch_result = model(x_test)
+      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