348 lines
120 KiB
HTML
348 lines
120 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_121146</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 12:11:48</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">76.5%</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">72.5%</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_121125.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>0.711</td>
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<td>0.780</td>
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<td>0.744</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>0.000</td>
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<td>0.000</td>
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<td>0.000</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>0.639</td>
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<td>0.676</td>
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<td>0.657</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>0.625</td>
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<td>0.769</td>
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<td>0.690</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>0.929</td>
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<td>1.000</td>
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<td>0.963</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>0.956</td>
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<td>0.977</td>
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<td>0.966</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>0.438</td>
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<td>0.538</td>
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<td>0.483</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>0.537</td>
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<td>0.593</td>
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<td>0.563</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>0.664</td>
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<td>0.725</td>
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<td>0.692</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 src="data:image/png;base64,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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 12:11:48</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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