Update app.py

app.py

@@ -21,7 +21,7 @@ def load_and_preprocess_data(file):
         data = pd.read_csv(file.name)
         
         # Convert suits and ranks to numerical values
-        suit_order = {'spades': 0, 'hearts': 1, 'logs': 2, 'diamonds': 3}
+        suit_order = {'spades': 0, 'hearts': 1, 'clubs': 2, 'diamonds': 3}
         rank_order = {'ace': 0, '2': 1, '3': 2, '4': 3, '5': 4, '6': 5, '7': 6, '8': 7, '9': 8, '10': 9, 
                       'jack': 10, 'queen': 11, 'king': 12}
         
@@ -140,7 +140,8 @@ def train_model(file, n_estimators, learning_rate, max_depth, subsample, progres
         }
         
         # Scale features
-        progress(0.3, desc="Scaling features        scaler = StandardScaler()
+        progress(0.3, desc="Scaling features...")
+        scaler = StandardScaler()
         features_scaled = scaler.fit_transform(features)
         features_scaled = pd.DataFrame(features_scaled, columns=features.columns)
         
@@ -185,7 +186,7 @@ def train_model(file, n_estimators, learning_rate, max_depth, subsample, progres
             # Evaluate
             y_pred = model.predict(X_test)
             accuracy = accuracy_score(y_test, y_pred)
-            report = classification_report(y_test, y_pred, zero_division=0)
+            report = classification_report(y_test, y_pred, zero<colgroup):
             accuracies[target_name] = accuracy
             
             results.append(f"**{target_name} Results**\n")