348 lines
121 KiB
HTML
348 lines
121 KiB
HTML
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<!DOCTYPE html>
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<html lang="vi">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Training Report - 20260105_161723</title>
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<style>
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* {
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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}
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body {
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
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background: #f5f5f5;
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padding: 20px;
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line-height: 1.6;
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}
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.container {
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max-width: 1200px;
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margin: 0 auto;
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background: white;
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border-radius: 15px;
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box-shadow: 0 10px 40px rgba(0,0,0,0.1);
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overflow: hidden;
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}
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.header {
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background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
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color: white;
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padding: 40px;
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text-align: center;
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}
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.header h1 {
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font-size: 2.5em;
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margin-bottom: 10px;
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}
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.header .subtitle {
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opacity: 0.9;
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font-size: 1.1em;
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}
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.content {
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padding: 40px;
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}
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.section {
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margin-bottom: 40px;
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}
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.section h2 {
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color: #667eea;
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border-bottom: 3px solid #667eea;
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padding-bottom: 10px;
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margin-bottom: 20px;
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font-size: 1.5em;
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}
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.stats-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 20px;
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margin-bottom: 30px;
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}
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.stat-card {
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background: linear-gradient(135deg, #667eea15 0%, #764ba215 100%);
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padding: 25px;
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border-radius: 10px;
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text-align: center;
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border: 1px solid #667eea30;
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}
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.stat-card .value {
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font-size: 2.5em;
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font-weight: bold;
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color: #667eea;
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}
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.stat-card .label {
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color: #666;
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margin-top: 5px;
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}
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.stat-card.success .value {
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color: #28a745;
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}
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.stat-card.warning .value {
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color: #ffc107;
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}
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table {
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width: 100%;
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border-collapse: collapse;
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margin: 20px 0;
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}
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th, td {
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padding: 12px 15px;
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text-align: left;
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border-bottom: 1px solid #ddd;
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}
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th {
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background: #667eea;
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color: white;
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}
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tr:hover {
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background-color: #f5f5f5;
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}
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.conf-matrix {
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font-size: 14px;
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}
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.conf-matrix th, .conf-matrix td {
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text-align: center;
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padding: 8px;
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}
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.chart-container {
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text-align: center;
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margin: 20px 0;
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}
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.chart-container img {
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max-width: 100%;
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border-radius: 10px;
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box-shadow: 0 4px 15px rgba(0,0,0,0.1);
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}
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.info-box {
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background: #e3f2fd;
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padding: 20px;
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border-radius: 10px;
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border-left: 5px solid #2196f3;
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margin: 20px 0;
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}
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.info-row {
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display: flex;
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margin: 10px 0;
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}
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.info-label {
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font-weight: bold;
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width: 200px;
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color: #555;
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}
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.info-value {
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color: #333;
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}
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.footer {
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background: #f8f9fa;
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padding: 20px;
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text-align: center;
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color: #666;
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font-size: 14px;
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}
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@media print {
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body {
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background: white;
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padding: 0;
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}
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.container {
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box-shadow: none;
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}
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}
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</style>
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</head>
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<body>
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<div class="container">
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<div class="header">
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<h1>📊 Báo Cáo Training Model</h1>
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<p class="subtitle">Land Classification - 05/01/2026 16:17:24</p>
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</div>
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<div class="content">
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<!-- Summary Stats -->
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<div class="section">
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<h2>📈 Tóm Tắt Kết Quả</h2>
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<div class="stats-grid">
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<div class="stat-card success">
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<div class="value">69.2%</div>
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<div class="label">Train Accuracy</div>
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</div>
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<div class="stat-card warning">
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<div class="value">60.1%</div>
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<div class="label">Test Accuracy</div>
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</div>
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<div class="stat-card">
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<div class="value">868</div>
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<div class="label">Training Samples</div>
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</div>
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<div class="stat-card">
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<div class="value">218</div>
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<div class="label">Testing Samples</div>
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</div>
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<div class="stat-card">
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<div class="value">8</div>
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<div class="label">Số Classes</div>
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</div>
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<div class="stat-card">
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<div class="value">20%</div>
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<div class="label">Test Size</div>
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</div>
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</div>
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</div>
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<!-- Configuration Info -->
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<div class="section">
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<h2>⚙️ Cấu Hình Training</h2>
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<div class="info-box">
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<div class="info-row">
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<span class="info-label">🤖 Model Type:</span>
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<span class="info-value">SWIN-UNET</span>
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</div>
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<div class="info-row">
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<span class="info-label">📍 Khu vực (bbox):</span>
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<span class="info-value">[105.561448, 9.264228, 106.298669, 9.931334]</span>
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</div>
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<div class="info-row">
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<span class="info-label">📅 Thời gian:</span>
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<span class="info-value">2023-03-01/2023-12-31</span>
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</div>
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<div class="info-row">
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<span class="info-label">📐 Độ phân giải:</span>
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<span class="info-value">20m</span>
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</div>
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<div class="info-row">
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<span class="info-label">💾 Model Path:</span>
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<span class="info-value">model_train/model_swin-unet_20260105_161647.joblib</span>
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</div>
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</div>
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</div>
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<!-- Classification Report -->
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<div class="section">
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<h2>📋 Classification Report</h2>
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<table>
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<thead>
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<tr>
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<th>Loại đất</th>
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<th>Precision</th>
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<th>Recall</th>
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<th>F1-Score</th>
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<th>Support</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td><strong>0</strong></td>
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<td>0.333</td>
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<td>0.500</td>
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<td>0.400</td>
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<td>12</td>
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</tr>
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<tr>
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<td><strong>1</strong></td>
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<td>0.708</td>
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<td>0.415</td>
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<td>0.523</td>
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<td>41</td>
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</tr>
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<tr>
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<td><strong>2</strong></td>
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<td>0.250</td>
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<td>0.444</td>
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<td>0.320</td>
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<td>9</td>
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</tr>
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<tr>
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<td><strong>3</strong></td>
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<td>0.360</td>
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<td>0.265</td>
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<td>0.305</td>
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<td>34</td>
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</tr>
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<tr>
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<td><strong>4</strong></td>
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<td>0.615</td>
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<td>0.615</td>
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<td>0.615</td>
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<td>26</td>
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</tr>
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<tr>
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<td><strong>5</strong></td>
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<td>1.000</td>
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<td>0.923</td>
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<td>0.960</td>
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<td>26</td>
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</tr>
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<tr>
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<td><strong>6</strong></td>
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<td>0.814</td>
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<td>0.795</td>
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<td>0.805</td>
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<td>44</td>
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</tr>
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<tr>
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<td><strong>7</strong></td>
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<td>0.476</td>
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<td>0.769</td>
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<td>0.588</td>
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<td>26</td>
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</tr>
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<tr style="background-color: #f0f0f0; font-weight: bold;">
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<td>macro avg</td>
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<td>0.570</td>
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<td>0.591</td>
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<td>0.565</td>
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<td>218</td>
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</tr>
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<tr style="background-color: #f0f0f0; font-weight: bold;">
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<td>weighted avg</td>
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<td>0.632</td>
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<td>0.601</td>
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<td>0.602</td>
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<td>218</td>
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</tr>
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</tbody>
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</table>
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</div>
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<!-- Metrics Chart -->
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<div class="section"><h2>📊 Biểu Đồ Metrics</h2><div class="chart-container"><img 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alt="Metrics Chart"></div></div>
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<div class="section"><h2>📊 Phân Bố Số Mẫu</h2><div class="chart-container"><img 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" alt="Class Distribution"></div></div>
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<!-- Confusion Matrix -->
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<div class="section">
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<h2>🔢 Confusion Matrix</h2>
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<div class="chart-container"><img 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" alt="Confusion Matrix"></div>
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</div>
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<!-- Classes List -->
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<div class="section">
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<h2>🏷️ Danh Sách Các Loại Đất</h2>
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<div class="info-box">
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<ul style="list-style: none; display: flex; flex-wrap: wrap; gap: 10px;">
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<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;">2</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>
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</ul>
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</div>
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</div>
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</div>
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<div class="footer">
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<p>🌍 Land Classification Training System | Generated: 05/01/2026 16:17:24</p>
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<p>Data Source: Microsoft Planetary Computer (Sentinel-2 L2A, Sentinel-1 RTC)</p>
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</div>
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</div>
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</body>
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</html>
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