Update app.py

app.py

@@ -104,7 +104,7 @@ def test(model_fit,test,train,df_covariates,time):
   for i in df_prediction.columns:
     target_variable.append(i)
     MAE.append(mean_absolute_error(df_prediction[i], test.to_dataframe()[i]))
-    R2.append(r2_score(df_prediction[i], test.to_dataframe()[i]))
+    R2.append(r2_score(test.to_dataframe()[i],df_prediction[i]))
   metrics = pd.DataFrame({'target':target_variable,'MAE': MAE, 'R2': R2})
   return metrics, fig