Fix cnn prediction (#14904)

* Fix CNN prediction threshold for binary classification

* Use ternary operator for binary prediction

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Co-authored-by: Christian Clauss <cclauss@me.com>

Author: ParikshitGupta2605

computer_vision/cnn_classification.py

@@ -94,7 +94,6 @@
     test_image = np.expand_dims(test_image, axis=0)
     result = classifier.predict(test_image)
     # training_set.class_indices
-    if result[0][0] == 0:
-        prediction = "Normal"
-    if result[0][0] == 1:
-        prediction = "Abnormality detected"
+    # The sigmoid output is a probability in the range [0, 1].
+    # Use a threshold of 0.5 to convert the probability into a binary prediction.
+    prediction = "Normal" if result[0][0] < 0.5 else "Abnormality detected"