Victor Phan
340 lines
118 KiB
HTML
340 lines
118 KiB
HTML
|
|
<!DOCTYPE html>
|
|
<html lang="vi">
|
|
<head>
|
|
<meta charset="UTF-8">
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
|
<title>Training Report - 20251221_172357</title>
|
|
<style>
|
|
* {
|
|
margin: 0;
|
|
padding: 0;
|
|
box-sizing: border-box;
|
|
}
|
|
body {
|
|
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
|
background: #f5f5f5;
|
|
padding: 20px;
|
|
line-height: 1.6;
|
|
}
|
|
.container {
|
|
max-width: 1200px;
|
|
margin: 0 auto;
|
|
background: white;
|
|
border-radius: 15px;
|
|
box-shadow: 0 10px 40px rgba(0,0,0,0.1);
|
|
overflow: hidden;
|
|
}
|
|
.header {
|
|
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
|
color: white;
|
|
padding: 40px;
|
|
text-align: center;
|
|
}
|
|
.header h1 {
|
|
font-size: 2.5em;
|
|
margin-bottom: 10px;
|
|
}
|
|
.header .subtitle {
|
|
opacity: 0.9;
|
|
font-size: 1.1em;
|
|
}
|
|
.content {
|
|
padding: 40px;
|
|
}
|
|
.section {
|
|
margin-bottom: 40px;
|
|
}
|
|
.section h2 {
|
|
color: #667eea;
|
|
border-bottom: 3px solid #667eea;
|
|
padding-bottom: 10px;
|
|
margin-bottom: 20px;
|
|
font-size: 1.5em;
|
|
}
|
|
.stats-grid {
|
|
display: grid;
|
|
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
|
|
gap: 20px;
|
|
margin-bottom: 30px;
|
|
}
|
|
.stat-card {
|
|
background: linear-gradient(135deg, #667eea15 0%, #764ba215 100%);
|
|
padding: 25px;
|
|
border-radius: 10px;
|
|
text-align: center;
|
|
border: 1px solid #667eea30;
|
|
}
|
|
.stat-card .value {
|
|
font-size: 2.5em;
|
|
font-weight: bold;
|
|
color: #667eea;
|
|
}
|
|
.stat-card .label {
|
|
color: #666;
|
|
margin-top: 5px;
|
|
}
|
|
.stat-card.success .value {
|
|
color: #28a745;
|
|
}
|
|
.stat-card.warning .value {
|
|
color: #ffc107;
|
|
}
|
|
table {
|
|
width: 100%;
|
|
border-collapse: collapse;
|
|
margin: 20px 0;
|
|
}
|
|
th, td {
|
|
padding: 12px 15px;
|
|
text-align: left;
|
|
border-bottom: 1px solid #ddd;
|
|
}
|
|
th {
|
|
background: #667eea;
|
|
color: white;
|
|
}
|
|
tr:hover {
|
|
background-color: #f5f5f5;
|
|
}
|
|
.conf-matrix {
|
|
font-size: 14px;
|
|
}
|
|
.conf-matrix th, .conf-matrix td {
|
|
text-align: center;
|
|
padding: 8px;
|
|
}
|
|
.chart-container {
|
|
text-align: center;
|
|
margin: 20px 0;
|
|
}
|
|
.chart-container img {
|
|
max-width: 100%;
|
|
border-radius: 10px;
|
|
box-shadow: 0 4px 15px rgba(0,0,0,0.1);
|
|
}
|
|
.info-box {
|
|
background: #e3f2fd;
|
|
padding: 20px;
|
|
border-radius: 10px;
|
|
border-left: 5px solid #2196f3;
|
|
margin: 20px 0;
|
|
}
|
|
.info-row {
|
|
display: flex;
|
|
margin: 10px 0;
|
|
}
|
|
.info-label {
|
|
font-weight: bold;
|
|
width: 200px;
|
|
color: #555;
|
|
}
|
|
.info-value {
|
|
color: #333;
|
|
}
|
|
.footer {
|
|
background: #f8f9fa;
|
|
padding: 20px;
|
|
text-align: center;
|
|
color: #666;
|
|
font-size: 14px;
|
|
}
|
|
@media print {
|
|
body {
|
|
background: white;
|
|
padding: 0;
|
|
}
|
|
.container {
|
|
box-shadow: none;
|
|
}
|
|
}
|
|
</style>
|
|
</head>
|
|
<body>
|
|
<div class="container">
|
|
<div class="header">
|
|
<h1>📊 Báo Cáo Training Model</h1>
|
|
<p class="subtitle">Land Classification - 21/12/2025 17:23:58</p>
|
|
</div>
|
|
|
|
<div class="content">
|
|
<!-- Summary Stats -->
|
|
<div class="section">
|
|
<h2>📈 Tóm Tắt Kết Quả</h2>
|
|
<div class="stats-grid">
|
|
<div class="stat-card success">
|
|
<div class="value">100.0%</div>
|
|
<div class="label">Train Accuracy</div>
|
|
</div>
|
|
<div class="stat-card warning">
|
|
<div class="value">57.8%</div>
|
|
<div class="label">Test Accuracy</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="value">510</div>
|
|
<div class="label">Training Samples</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="value">128</div>
|
|
<div class="label">Testing Samples</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="value">7</div>
|
|
<div class="label">Số Classes</div>
|
|
</div>
|
|
<div class="stat-card">
|
|
<div class="value">20%</div>
|
|
<div class="label">Test Size</div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- Configuration Info -->
|
|
<div class="section">
|
|
<h2>⚙️ Cấu Hình Training</h2>
|
|
<div class="info-box">
|
|
<div class="info-row">
|
|
<span class="info-label">🤖 Model Type:</span>
|
|
<span class="info-value">XGBOOST</span>
|
|
</div>
|
|
<div class="info-row">
|
|
<span class="info-label">📍 Khu vực (bbox):</span>
|
|
<span class="info-value">[105.6, 9.3, 106.2, 9.8]</span>
|
|
</div>
|
|
<div class="info-row">
|
|
<span class="info-label">📅 Thời gian:</span>
|
|
<span class="info-value">2023-03-01/2023-05-31</span>
|
|
</div>
|
|
<div class="info-row">
|
|
<span class="info-label">📐 Độ phân giải:</span>
|
|
<span class="info-value">20m</span>
|
|
</div>
|
|
<div class="info-row">
|
|
<span class="info-label">💾 Model Path:</span>
|
|
<span class="info-value">model_train/model_xgboost_20251221_172351.joblib</span>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- Classification Report -->
|
|
<div class="section">
|
|
<h2>📋 Classification Report</h2>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Loại đất</th>
|
|
<th>Precision</th>
|
|
<th>Recall</th>
|
|
<th>F1-Score</th>
|
|
<th>Support</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
|
|
<tr>
|
|
<td><strong>0</strong></td>
|
|
<td>0.273</td>
|
|
<td>0.250</td>
|
|
<td>0.261</td>
|
|
<td>12</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td><strong>1</strong></td>
|
|
<td>0.536</td>
|
|
<td>0.652</td>
|
|
<td>0.588</td>
|
|
<td>23</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td><strong>3</strong></td>
|
|
<td>0.571</td>
|
|
<td>0.545</td>
|
|
<td>0.558</td>
|
|
<td>22</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td><strong>4</strong></td>
|
|
<td>0.522</td>
|
|
<td>0.571</td>
|
|
<td>0.545</td>
|
|
<td>21</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td><strong>5</strong></td>
|
|
<td>0.800</td>
|
|
<td>0.444</td>
|
|
<td>0.571</td>
|
|
<td>9</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td><strong>6</strong></td>
|
|
<td>0.846</td>
|
|
<td>0.733</td>
|
|
<td>0.786</td>
|
|
<td>30</td>
|
|
</tr>
|
|
|
|
<tr>
|
|
<td><strong>7</strong></td>
|
|
<td>0.429</td>
|
|
<td>0.545</td>
|
|
<td>0.480</td>
|
|
<td>11</td>
|
|
</tr>
|
|
|
|
<tr style="background-color: #f0f0f0; font-weight: bold;">
|
|
<td>macro avg</td>
|
|
<td>0.568</td>
|
|
<td>0.535</td>
|
|
<td>0.541</td>
|
|
<td>128</td>
|
|
</tr>
|
|
|
|
<tr style="background-color: #f0f0f0; font-weight: bold;">
|
|
<td>weighted avg</td>
|
|
<td>0.597</td>
|
|
<td>0.578</td>
|
|
<td>0.581</td>
|
|
<td>128</td>
|
|
</tr>
|
|
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
|
|
<!-- Metrics Chart -->
|
|
<div class="section"><h2>📊 Biểu Đồ Metrics</h2><div class="chart-container"><img src="data:image/png;base64,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" alt="Metrics Chart"></div></div>
|
|
|
|
<!-- Class Distribution -->
|
|
<div class="section"><h2>📊 Phân Bố Số Mẫu</h2><div class="chart-container"><img src="data:image/png;base64,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" alt="Class Distribution"></div></div>
|
|
|
|
<!-- Confusion Matrix -->
|
|
<div class="section">
|
|
<h2>🔢 Confusion Matrix</h2>
|
|
<div class="chart-container"><img src="data:image/png;base64,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" alt="Confusion Matrix"></div>
|
|
</div>
|
|
|
|
<!-- Classes List -->
|
|
<div class="section">
|
|
<h2>🏷️ Danh Sách Các Loại Đất</h2>
|
|
<div class="info-box">
|
|
<ul style="list-style: none; display: flex; flex-wrap: wrap; gap: 10px;">
|
|
<li style="background: #667eea; color: white; padding: 8px 15px; border-radius: 20px;">0</li><li style="background: #667eea; color: white; padding: 8px 15px; border-radius: 20px;">1</li><li style="background: #667eea; color: white; padding: 8px 15px; border-radius: 20px;">3</li><li style="background: #667eea; color: white; padding: 8px 15px; border-radius: 20px;">4</li><li style="background: #667eea; color: white; padding: 8px 15px; border-radius: 20px;">5</li><li style="background: #667eea; color: white; padding: 8px 15px; border-radius: 20px;">6</li><li style="background: #667eea; color: white; padding: 8px 15px; border-radius: 20px;">7</li>
|
|
</ul>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="footer">
|
|
<p>🌍 Land Classification Training System | Generated: 21/12/2025 17:23:58</p>
|
|
<p>Data Source: Microsoft Planetary Computer (Sentinel-2 L2A, Sentinel-1 RTC)</p>
|
|
</div>
|
|
</div>
|
|
</body>
|
|
</html>
|