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app.py

@@ -348,7 +348,7 @@ if st.session_state.last_prediction is not None:
                     # 2. Base Value notation simplification
                     st.markdown(f"""
                         <p style='font-size:16px;'>
-                        **Base Value**: ${LOCAL_EXPLAINER.expected_value:,.2f} 
+                        Base Value: ${LOCAL_EXPLAINER.expected_value:,.2f} 
                         (Average sales prediction).
                         </p>
                     """, unsafe_allow_html=True)
@@ -359,7 +359,7 @@ if st.session_state.last_prediction is not None:
                     # 3. Plot Interpretation Guide notation simplification
                     st.markdown("##### Plot Interpretation Guide")
                     st.markdown(f"""
-                        The Waterfall Plot shows how each feature value contributes to pushing the model's output from the **Base Value** (the average prediction, **${LOCAL_EXPLAINER.expected_value:,.2f}**) to the final **Forecast** (**${st.session_state.last_prediction:,.2f}**).
+                        The Waterfall Plot shows how each feature value contributes to pushing the model's output from the **Base Value** (the average prediction, ${LOCAL_EXPLAINER.expected_value:,.2f}) to the final **Forecast** (${st.session_state.last_prediction:,.2f}).
                         
                         * **Red Bars:** Feature values that **increase** the prediction (positive contribution).
                         * **Blue Bars:** Feature values that **decrease** the prediction (negative contribution).