信用风险预警分析模型（信保通）及数据

信用风险预警分析模型（信保通）主要分析评估信用主体在生活保障领域的信用风险情况，基于四个维度对对模型采取多层次加权算法进行赋分，使得各维度数据根据不同权重进行合理的分值分配。根据各维度不同的指标数据特征具体采用分段赋分、计数打分、权重赋分等规则进行赋值，如社会保险缴纳情况维度的指标进行分段赋分，正负面信用状况维度使用计数打分、权重赋分等，规则定义明确清晰。最终评分是基于综合考量各项指标的结果，以此达到全面评估信用主体的信用风险情况的目的。

The Credit Risk Early Warning Analysis Model (Xinbaotong) primarily conducts analysis and evaluation of the credit risk of credit subjects in the life security field. It adopts a multi-level weighted algorithm across four dimensions to assign scores, allowing reasonable score distribution based on different weights for each dimension's data. In accordance with the specific characteristics of the indicator data under each dimension, specific assignment rules including segment-based scoring, count-based scoring, and weight-based scoring are utilized. For example, the indicators under the social insurance payment status dimension adopt segment-based scoring, while the positive and negative credit status dimension applies count-based scoring, weight-based scoring, and other methods with explicit and clear rule definitions. The final score is obtained through comprehensive consideration of all indicators, aiming to achieve the objective of comprehensively evaluating the credit risk of credit subjects.

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该数据集为信用风险预警分析模型（信保通）及相关数据，主要用于评估天津市信用主体在生活保障领域的信用风险情况。数据包含11条记录，每月更新，适用于社会保障管理、信用风险预警和金融机构信贷审批等场景。