Insurance Claims - Full Report

Generated on 2025-10-20 16:46

1️⃣ Dataset Overview

Shape: 13000 rows × 7 columns

Columns: Age, Gender, Income, Marital_Status, Education, Occupation, Claim_Amount
Age Gender Income Marital_Status Education Occupation Claim_Amount
59.0 Male 270727.0 Single Master's Doctor 3455.0
21.0 Female 263874.0 Single Bachelor's Engineer 30233.0
71.0 Female 48372.0 Single Bachelor's Engineer 340.0
30.0 Female 99525.0 Single PhD CEO 1002.0
64.0 Female 187038.0 Married Master's CEO 2828.0

3️⃣ Distribuzioni principali



4️⃣ Claim medio per categoria

Gender


Marital_Status


Education


Occupation


5️⃣ Segmentazione clienti (KMeans)


Cluster profile:
Claim_Amount Age Income
count mean median mean mean
cluster
0 6220 8539.03 5776.5 51.67 162614.34
1 6156 8535.95 5764.0 51.50 164460.40
2 624 22040.64 7730.5 50.46 125737.43

6️⃣ Predizione High vs Low Claim

ROC AUC: 0.593

              precision    recall  f1-score   support

           0       0.78      0.86      0.82      2438
           1       0.38      0.26      0.31       812

    accuracy                           0.71      3250
   macro avg       0.58      0.56      0.56      3250
weighted avg       0.68      0.71      0.69      3250


7️⃣ Simulazione Monte Carlo delle perdite aggregate

VaR(95%): 83,496,410.26 | ES(95%): 83,902,450.69


Conclusioni