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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>信贷风险评估系统可视化仪表板</title>
<style>
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
line-height: 1.6;
color: #333;
max-width: 1200px;
margin: 0 auto;
padding: 20px;
background-color: #f5f5f5;
}
header {
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
color: white;
text-align: center;
padding: 2rem;
border-radius: 10px;
margin-bottom: 2rem;
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
}
h1 {
margin: 0;
font-size: 2.5rem;
}
.subtitle {
font-size: 1.2rem;
opacity: 0.9;
margin-top: 0.5rem;
}
.dashboard {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(500px, 1fr));
gap: 2rem;
margin-bottom: 2rem;
}
.card {
background: white;
border-radius: 10px;
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
padding: 1.5rem;
transition: transform 0.3s ease;
}
.card:hover {
transform: translateY(-5px);
}
.card h2 {
color: #667eea;
border-bottom: 2px solid #667eea;
padding-bottom: 0.5rem;
margin-top: 0;
}
.chart-container {
text-align: center;
margin-top: 1rem;
}
.chart-container img {
max-width: 100%;
height: auto;
border-radius: 5px;
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.insight {
background: #e3f2fd;
border-left: 4px solid #2196f3;
padding: 1rem;
margin: 1rem 0;
border-radius: 0 5px 5px 0;
}
footer {
text-align: center;
padding: 1rem;
background: white;
border-radius: 10px;
box-shadow: 0 4px 6px rgba(0,0,0,0.1);
}
@media (max-width: 768px) {
.dashboard {
grid-template-columns: 1fr;
}
body {
padding: 10px;
}
}
</style>
</head>
<body>
<header>
<h1>信贷风险评估系统可视化仪表板</h1>
<div class="subtitle">基于机器学习的可解释信贷风险分析</div>
</header>
<div class="dashboard">
<div class="card">
<h2>数据概览</h2>
<div class="chart-container">
<img src="default_distribution.png" alt="违约分布">
</div>
<div class="insight">
<strong>数据洞察:</strong> 数据集中违约客户占比3.73%正常客户占比96.27%,数据分布符合现实情况。
</div>
</div>
<div class="card">
<h2>SHAP特征重要性</h2>
<div class="chart-container">
<img src="shap_feature_importance.png" alt="SHAP特征重要性">
</div>
<div class="insight">
<strong>模型洞察:</strong> SHAP分析提供了更精确的特征重要性评估有助于理解模型决策过程。
</div>
</div>
<div class="card">
<h2>SHAP摘要图</h2>
<div class="chart-container">
<img src="shap_summary.png" alt="SHAP摘要图">
</div>
<div class="insight">
<strong>模型洞察:</strong> SHAP摘要图显示了每个特征如何影响模型输出红色表示增加风险蓝色表示降低风险。
</div>
</div>
<div class="card">
<h2>年龄分布</h2>
<div class="chart-container">
<img src="age_distribution.png" alt="年龄分布">
</div>
<div class="insight">
<strong>数据洞察:</strong> 客户年龄主要分布在25-45岁之间这是信贷业务的主要目标群体。
</div>
</div>
<div class="card">
<h2>收入分布</h2>
<div class="chart-container">
<img src="income_distribution.png" alt="收入分布">
</div>
<div class="insight">
<strong>数据洞察:</strong> 客户年收入主要集中在较低水平,符合一般信贷客户群体特征。
</div>
</div>
<div class="card">
<h2>信用评分分布</h2>
<div class="chart-container">
<img src="credit_score_distribution.png" alt="信用评分分布">
</div>
<div class="insight">
<strong>数据洞察:</strong> 信用评分分布较为均匀,涵盖了从较差到优秀的各个等级。
</div>
</div>
<div class="card">
<h2>违约与年龄关系</h2>
<div class="chart-container">
<img src="default_vs_age.png" alt="违约与年龄关系">
</div>
<div class="insight">
<strong>风险洞察:</strong> 年龄与违约风险之间没有明显的线性关系,说明需要综合其他特征进行判断。
</div>
</div>
<div class="card">
<h2>违约与收入关系</h2>
<div class="chart-container">
<img src="default_vs_income.png" alt="违约与收入关系">
</div>
<div class="insight">
<strong>风险洞察:</strong> 收入较高的客户违约风险相对较低,但并非绝对,仍需考虑其他因素。
</div>
</div>
<div class="card">
<h2>违约与信用评分关系</h2>
<div class="chart-container">
<img src="default_vs_credit_score.png" alt="违约与信用评分关系">
</div>
<div class="insight">
<strong>风险洞察:</strong> 信用评分与违约风险呈明显负相关,信用评分越低,违约风险越高。
</div>
</div>
<div class="card">
<h2>特征相关性</h2>
<div class="chart-container">
<img src="correlation_heatmap.png" alt="特征相关性">
</div>
<div class="insight">
<strong>数据洞察:</strong> 多数特征之间相关性较低,说明特征具有较好的独立性,有利于模型训练。
</div>
</div>
<div class="card">
<h2>教育水平与违约关系</h2>
<div class="chart-container">
<img src="education_default.png" alt="教育水平与违约关系">
</div>
<div class="insight">
<strong>风险洞察:</strong> 教育水平较高的客户违约率相对较低,体现了教育对信用的影响。
</div>
</div>
<div class="card">
<h2>房产情况与违约关系</h2>
<div class="chart-container">
<img src="home_default.png" alt="房产情况与违约关系">
</div>
<div class="insight">
<strong>风险洞察:</strong> 拥有自有房产的客户违约率最低,租房客户的违约率相对较高。
</div>
</div>
</div>
<footer>
<p>信贷风险评估系统 &copy; 2025 | 基于LightGBM和对抗自编码器的可解释AI模型</p>
</footer>
</body>
</html>