Victor Phan
348 lines
122 KiB
HTML
348 lines
122 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 - 20260103_214551</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 - 03/01/2026 21:45:52</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">24.3%</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">20.4%</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">841</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">211</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">[105.48, 9.77, 106.14, 10.35]</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">2023-03-01/2023-05-31</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_20260103_213942.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>0.000</td>
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<td>0.000</td>
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<td>0.000</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>0.167</td>
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<td>0.081</td>
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<td>0.109</td>
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<td>37</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>0.000</td>
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<td>0.000</td>
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<td>0.000</td>
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<td>10</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>0.261</td>
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<td>0.188</td>
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<td>0.218</td>
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<td>32</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>0.000</td>
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<td>0.000</td>
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<td>0.000</td>
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<td>29</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>0.222</td>
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<td>0.083</td>
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<td>0.121</td>
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<td>24</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>0.212</td>
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<td>0.429</td>
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<td>0.283</td>
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<td>42</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>0.184</td>
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<td>0.560</td>
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<td>0.277</td>
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<td>25</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>0.131</td>
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<td>0.168</td>
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<td>0.126</td>
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<td>211</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>0.158</td>
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<td>0.204</td>
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<td>0.155</td>
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<td>211</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 src="data:image/png;base64,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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: 03/01/2026 21:45:52</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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