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Database

3055. Top Percentile Fraud 🔒

中文文档

Description

Table: Fraud

+-------------+---------+
| Column Name | Type    |
+-------------+---------+
| policy_id   | int     |
| state       | varchar |
| fraud_score | int     |
+-------------+---------+
policy_id is column of unique values for this table.
This table contains policy id, state, and fraud score.

The Leetcode Insurance Corp has developed an ML-driven predictive model to detect the likelihood of fraudulent claims. Consequently, they allocate their most seasoned claim adjusters to address the top 5% of claims flagged by this model.

Write a solution to find the top 5 percentile of claims from each state.

Return the result table ordered by state in ascending order, fraud_score in descending order, and policy_id in ascending order.

The result format is in the following example.

 

Example 1:

Input: 
Fraud table:
+-----------+------------+-------------+
| policy_id | state      | fraud_score | 
+-----------+------------+-------------+
| 1         | California | 0.92        | 
| 2         | California | 0.68        |   
| 3         | California | 0.17        | 
| 4         | New York   | 0.94        | 
| 5         | New York   | 0.81        | 
| 6         | New York   | 0.77        |  
| 7         | Texas      | 0.98        |  
| 8         | Texas      | 0.97        | 
| 9         | Texas      | 0.96        | 
| 10        | Florida    | 0.97        |  
| 11        | Florida    | 0.98        | 
| 12        | Florida    | 0.78        | 
| 13        | Florida    | 0.88        | 
| 14        | Florida    | 0.66        | 
+-----------+------------+-------------+
Output: 
+-----------+------------+-------------+
| policy_id | state      | fraud_score |
+-----------+------------+-------------+
| 1         | California | 0.92        | 
| 11        | Florida    | 0.98        | 
| 4         | New York   | 0.94        | 
| 7         | Texas      | 0.98        |  
+-----------+------------+-------------+
Explanation
- For the state of California, only policy ID 1, with a fraud score of 0.92, falls within the top 5 percentile for this state.
- For the state of Florida, only policy ID 11, with a fraud score of 0.98, falls within the top 5 percentile for this state. 
- For the state of New York, only policy ID 4, with a fraud score of 0.94, falls within the top 5 percentile for this state. 
- For the state of Texas, only policy ID 7, with a fraud score of 0.98, falls within the top 5 percentile for this state. 
Output table is ordered by state in ascending order, fraud score in descending order, and policy ID in ascending order.

Solutions

Solution 1: Using Window Function

We can use the RANK() window function to calculate the ranking of fraud scores for each state, then filter out the records with a rank of 1, and sort them as required by the problem.

MySQL

# Write your MySQL query statement below
WITH
    T AS (
        SELECT
            *,
            RANK() OVER (
                PARTITION BY state
                ORDER BY fraud_score DESC
            ) AS rk
        FROM Fraud
    )
SELECT policy_id, state, fraud_score
FROM T
WHERE rk = 1
ORDER BY 2, 3 DESC, 1;