Update Sniffer_AI(Garage-door Dataset).py

Sniffer_AI(Garage-door Dataset).py

@@ -13,8 +13,7 @@ rf_model = joblib.load('rf_model.pkl')  # Ensure the correct model path
 
 # Define required numeric features
 numeric_features = [
-    "date_numeric", "total_minutes", "seconds",
-    "door_state", "sphone_signal", "label"
+    "date_numeric", "time_numeric", "door_state", "sphone_signal", "label"
 ]
 
 # Class labels for attack types
@@ -36,8 +35,7 @@ def convert_datetime_features(log_data):
         log_data['date_numeric'] = log_data['date'].astype(np.int64) // 10**9  
 
         time_parsed = pd.to_datetime(log_data['time'], format='%H:%M:%S', errors='coerce')
-        log_data['total_minutes'] = (time_parsed.dt.hour * 60) + time_parsed.dt.minute
-        log_data['seconds'] = time_parsed.dt.second
+        log_data['time_numeric'] = (time_parsed.dt.hour * 3600) + (time_parsed.dt.minute * 60) + time_parsed.dt.second
     except Exception as e:
         return f"Error processing date/time: {str(e)}"