explain

app.py

@@ -225,13 +225,12 @@ With no need for jargon, SSDS delivers tangible value to our fintech operations.
 
     gr.Markdown("""
     
-**Context:**
-This analysis is derived from an XGBoost regression model designed to predict house prices. The model utilizes features such as **dist_subway, age, lat, long,** and **dist_stores**.
 
-Full dataset at the bottom of this tab
 
+CREDIT DEFAULT RISK INTERPRETATION
+=======================
 Explain by Context
-===============
+----------
 - Sometimes, understanding why an individual defaults requires shifting to a credit-healthy background, altering the baseline E[f(x) | credit healthy] using interventional feature perturbation ([source](https://arxiv.org/pdf/2006.16234.pdf)).
 
 [UCI Machine Learning Repository - Credit Default Dataset](https://www.kaggle.com/datasets/uciml/default-of-credit-card-clients-dataset)
@@ -249,10 +248,15 @@ f(x) in probability for logistic regression objective using XGBoost
 - LIMIT_BAL signifies the amount of given credit in NT dollars (includes individual and family/supplementary credit).
 - BILL_AMT1 indicates the bill statement amount in September, 2005 (NT dollar).
 
-This approach leverages context-specific explanations within credit health parameters to reveal why individuals default, providing valuable insights into repayment behavior and financial health.
- 
+
+HOME PRICE INTERPRETATION
+=======================
+This analysis is derived from an XGBoost regression model designed to predict house prices. The model utilizes features such as **dist_subway, age, lat, long,** and **dist_stores**.
+
+Full dataset at the bottom of this tab
+
 Explain by Dataset
-===============
+----------
 - Below are explanation in typical background E[f(x)]
 
 ![Summary](file=./xgb/data.png)
@@ -265,7 +269,7 @@ Explain by Dataset
 
 
 Explain by Feature
-===============
+----------
 ![Partial Dependence](file=./xgb/feature.png)
 
 **Observations:**
@@ -274,7 +278,7 @@ Explain by Feature
 
     
 Explain by Record
-===============
+----------
 ![Force](file=./xgb/record.png)
 
 **Contribution to Price:**
@@ -282,7 +286,7 @@ Explain by Record
 - **Age** follows as the second significant contributor.
 
 Explain by Instance
-===============
+----------
 ![Dependence](file=./xgb/instance.png)
 
 **Insights:**