Update app.py

app.py

@@ -37,7 +37,7 @@ x1_valid = pd.DataFrame(x1_valid['train'])
 print(x1_valid.columns)
 
 #Define feature names.
-f1_names = ['Age', 'Current or Former Smoker', 'History of Malignancy', 'Prior DVT or PE', 'Admission BMI', 'Admission NIHSS Score', 'Premorbid mRS Score','Occlusion Laterality', 'Hyperdense MCA', 'MT - Type of Thrombectomy', 'mTICI Score' ,'Hypertension', 'Antiplatelet Use', 'Admission Hemoglobin', 'Intravenous Thrombolysis']
+f1_names = ['Age', 'Current or Former Smoker', 'Diabetes', 'History of Malignancy', 'Prior DVT or PE', 'Admission BMI', 'Admission NIHSS Score', 'Premorbid mRS Score', 'Occlusion Laterality', 'Hyperdense MCA', 'MT - Type of Thrombectomy', 'MT - mTICI Score', 'Hypertension', 'Antiplatelet Use', 'Admission Hemoglobin', 'Intravenous Thrombolysis']
 
 #Prepare training data for the outcome 1.
 y1 = x1.pop('OUTCOME')