Update app.py

app.py

@@ -33,7 +33,7 @@ X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_
 
 # page title
 st.title('Classification of Credit Risk')
-st.divider()
+#st.divider()
 
 # header: variables
 st.header('Variables')
@@ -45,19 +45,19 @@ The dataset contains the following variables:
 - Variable 3
 """
 )
-st.divider()
+#st.divider()
 
 # header: data
 st.header('Data')
 data
-st.divider()
+#st.divider()
 
 # header: predictors
 st.header('Predictors')
 st.write('Please select up to 3 predictors:')
 selected = st.multiselect(
     '', vars, max_selections=3)
-st.divider()
+#st.divider()
 
 # header: model
 st.header('Model')
@@ -92,7 +92,7 @@ else:
     mytree = tree.export_graphviz(pipe.named_steps["classifier"], out_file=None)
     st.graphviz_chart(mytree)
 
-st.divider()
+#st.divider()
 
 # header: accuracy
 st.header('Accuracy')
@@ -103,4 +103,4 @@ try:
 except:
     st.write('Please select at least 1 predictor.')
 
-st.divider()
+#st.divider()