Update app.py

app.py

@@ -56,7 +56,7 @@ with model_eval:
     st.write("True Positives (TP): Correctly predicted Spam")
     st.write("True Negatives (TN): Correctly predicted Not Spam")
     st.write("False Positives (FP): Predicted Spam but it was actually Not Spam (Type I error)")
-    st.write("False Negatives (FN): Predicted Ham but it was Spam (Type II error)")
+    st.write("False Negatives (FN): Predicted Not Spam but it was actually Spam (Type II error)")
     st.image("confusion_matrix.png")
 
     # EVALUATION MATRICS