Update app.py

app.py

@@ -7,6 +7,21 @@ from datasets import load_dataset
 
 
 df = load_dataset("mmmapms/Forecasts")
+df = df.rename(columns={
+    'Price': 'Real Price',
+    'DNN1': 'Neural Network 1',
+    'DNN2': 'Neural Network 2',
+    'DNN3': 'Neural Network 3',
+    'DNN4': 'Neural Network 4',
+    'DNN_Ensemble': 'Neural Network Ensemble',
+    'LEAR56': 'Regularized Linear Model 1',
+    'LEAR84': 'Regularized Linear Model 2',
+    'LEAR112': 'Regularized Linear Model 3',
+    'LEAR730': 'Regularized Linear Model 4',
+    'LEAR_Ensemble': 'Regularized Linear Model Ensemble',
+    'Persis': 'Persistence Model',
+    'Hybrid_Ensemble': 'Hybrid Ensemble'
+    })
 df['Date'] = pd.to_datetime(df['Date'], dayfirst=True)
 df_filtered = df.dropna(subset=['Real Price'])