delete status on the leaderboard

app.py

@@ -148,7 +148,7 @@ def install_requirements(file_path):
         print(f"Error: {file_path} not found.")
     except subprocess.CalledProcessError as e:
         print(f"Installation failed: {e}")
-HEADERS = ["Username", "Execution Time (s)", "Accuracy", "TP", "FP", "FN", "TN", "Status"]
+HEADERS = ["Username", "Execution Time (s)", "Accuracy", "TP", "FP", "FN", "TN"]
 BASE = {'ottawa':(45.30326753851309,-75.93640391349997),
         'ali_home':(37.88560412289598,-122.30218612514359),
         'josh_home':(37.8697406, -122.30218612514359),
@@ -332,14 +332,14 @@ def evaluate_model(username, file):
         accuracy = round((TP + TN) / (TP + TN + FP + FN), 2)
 
         status = "Success" if accuracy > 0 else "Incorrect Model"
-# ["Username", "Execution Time (s)", "Accuracy", "True Positive", "False Positive", "False Negative", "False Positive", "Status"]
+# ["Username", "Execution Time (s)", "Accuracy", "True Positive", "False Positive", "False Negative", "False Positive"]
     except Exception as e:
-        leaderboard_data = pd.concat([leaderboard_data, pd.DataFrame([[username, float("inf"), 0,-1,-1,-1,-1, f"Model Error: {str(e)}"]], 
+        leaderboard_data = pd.concat([leaderboard_data, pd.DataFrame([[username, float("inf"), 0,-1,-1,-1,-1]], 
                                  columns=HEADERS)], ignore_index=True)
         return leaderboard_data.values.tolist()
     print("calculating new entry")
     
-    new_entry = pd.DataFrame([[username, execution_time, accuracy, TP, FP, FN, TN, status]], 
+    new_entry = pd.DataFrame([[username, execution_time, accuracy, TP, FP, FN, TN]], 
                                  columns=HEADERS)
     print("updating new entry")
     leaderboard_data = update_results_dataset(new_entry)