2026数据科学与大数据技术一套基于机器学习的钻石价格数据分析与可视化3.87-AI10.0(论文+程序代码源码+原始源数据表+运行指导)定稿.zip

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2026-09-18
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2205034236_王熙哲_数据科学与大数据技术_基于机器学习的钻石价格数据分析与可视化
- bdu26bd236wangxizhediamonds_w
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      - info
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    - refs
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      - tags
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    - description(73 B)
    - HEAD(21 B)
    - index(16.36 KB)
  - bdu26bd236wangxizhedata
    - out
      - analysis_01_quality_premium
        make_tier_stats
        part-00000-22373008-ea5e-44f7-becd-7d33b8e93138-c000.csv(151 B)
        _SUCCESS(0 B)
        premium_combos
        part-00000-0c6dd56f-5ed9-4eb1-9deb-11a55ac0b3ae-c000.csv(3.96 KB)
        _SUCCESS(0 B)
        quality_matrix
        part-00000-298fa720-ee67-45f8-9519-31d14b9d3b12-c000.csv(1.76 KB)
        _SUCCESS(0 B)
      - analysis_02_certificate_market
        cert_overview
        part-00000-76cc6b44-b15a-4f5c-98d8-99066218d594-c000.csv(156 B)
        _SUCCESS(0 B)
        cert_year
        part-00000-cd514102-23a8-43c9-b323-3f5f8115df56-c000.csv(302 B)
        _SUCCESS(0 B)
        freshness_cert
        part-00000-3550d8a9-5f6c-45a8-9d1d-e0fceb871b0d-c000.csv(157 B)
        _SUCCESS(0 B)
        location_cert
        part-00000-2feb45b4-b0ad-401b-be7d-2d92a4174f52-c000.csv(347 B)
        _SUCCESS(0 B)
      - analysis_03_inventory_freshness
        freshness_location
        part-00000-1ee684bc-51dc-48ea-acdf-afcb414deb9e-c000.csv(284 B)
        _SUCCESS(0 B)
        freshness_overview
        part-00000-439060f1-b331-42b6-b938-ebebe668f559-c000.csv(166 B)
        _SUCCESS(0 B)
        freshness_quality
        part-00000-f8f9ff62-4837-411c-98d6-52823a81715e-c000.csv(305 B)
        _SUCCESS(0 B)
        fresh_inventory
        part-00000-42e4c2ab-a6d1-4ce6-872d-7120bbae0e17-c000.csv(173 B)
        _SUCCESS(0 B)
      - analysis_04_price_prediction
        classification_confusion_matrix
        part-00000-28a0bdf0-780a-4533-9905-6f11f8b49a86-c000.csv(252 B)
        _SUCCESS(0 B)
        classification_metrics
        part-00000-a47be4d5-fe20-4fcc-a574-2b47c7cde538-c000.csv(423 B)
        _SUCCESS(0 B)
        classification_predictions
        part-00000-bdc5e29f-306e-4d13-91d3-bf653edf7428-c000.csv(195.77 KB)
        _SUCCESS(0 B)
        feature_importance
        part-00000-c930e207-b198-4e39-9346-5c7b8987d392-c000.csv(749 B)
        _SUCCESS(0 B)
        metrics
        part-00000-4925292e-2b29-4311-a3ba-99af8ed99097-c000.json(201 B)
        _SUCCESS(0 B)
        model_comparison
        part-00000-ec85783e-0c42-4407-a6e0-8deb048496c2-c000.csv(468 B)
        _SUCCESS(0 B)
        predictions
        part-00000-f02481f2-4fd1-44e7-a2da-189eb6bd343e-c000.csv(273.8 KB)
        _SUCCESS(0 B)
        price_band_metrics
        part-00000-8a26d302-19d8-43e0-bac3-819666cb96f4-c000.csv(102 B)
        _SUCCESS(0 B)
      - analysis_05_value_segmentation
        cluster_assignments
        part-00000-c02b754e-d8cd-491e-a047-ec08c5877f08-c000.csv(1.19 MB)
        _SUCCESS(0 B)
        cluster_summary
        part-00000-c0d0f0b6-a8a4-4a41-82be-41eee92ec60e-c000.csv(305 B)
        _SUCCESS(0 B)
        k_selection
        part-00000-c3ce5cfd-cd5e-4bad-abfe-7b4262e9e81f-c000.csv(297 B)
        _SUCCESS(0 B)
        top_value_candidates
        part-00000-423b8d33-300d-4fee-ad85-dceeb97abf16-c000.csv(1.35 KB)
        _SUCCESS(0 B)
    - plots
      - analysis_01_quality_premium
        make_tier_bar.png(32.26 KB)预览内容
        premium_top10.png(59.16 KB)预览内容
        quality_heatmap.png(107.13 KB)预览内容
      - analysis_02_certificate_market
        cert_overview_combo.png(62.56 KB)预览内容
        freshness_cert_stacked.png(43 KB)预览内容
        location_cert_heatmap.png(48.52 KB)预览内容
      - analysis_03_inventory_freshness
        freshness_overview_combo.png(57.86 KB)预览内容
        freshness_quality_heatmap.png(46.73 KB)预览内容
        fresh_inventory_location.png(32.78 KB)预览内容
      - analysis_04_price_prediction
        actual_vs_prediction.png(125.34 KB)预览内容
        classification_confusion_matrix.png(46.41 KB)预览内容
        classification_metrics.png(35.57 KB)预览内容
        feature_importance.png(61.43 KB)预览内容
        model_r2_comparison.png(61.61 KB)预览内容
        model_rmse_comparison.png(47.54 KB)预览内容
        price_band_mae.png(25.21 KB)预览内容
        residual_histogram.png(30.96 KB)预览内容
      - analysis_05_value_segmentation
        cluster_scatter.png(303.59 KB)预览内容
        cluster_summary_combo.png(53.65 KB)预览内容
        k_elbow_selection.png(86.47 KB)预览内容
        top_value_candidates.png(50.94 KB)预览内容
    - raw_data
      - diamonds.csv(2.01 MB)
  - bdu26bd236wangxizhesh
    - analysis_01_quality_premium236wangxizhe.sh(982 B)
    - analysis_02_certificate_market236wangxizhe.sh(991 B)
    - analysis_03_inventory_freshness236wangxizhe.sh(994 B)
    - analysis_04_price_prediction236wangxizhe.sh(985 B)
    - analysis_05_value_segmentation236wangxizhe.sh(1.01 KB)
    - export_all_analysis236wangxizhe.sh(605 B)
    - run_all_analyses236wangxizhe.sh(1.91 KB)
    - step1_wash_data236wangxizhe.sh(942 B)
  - bdu26bd236wangxizhespark_jobs
    - analysis_01_quality_premium236wangxizhe.py(2.23 KB)
    - analysis_02_certificate_market236wangxizhe.py(2.4 KB)
    - analysis_03_inventory_freshness236wangxizhe.py(2.55 KB)
    - analysis_04_price_prediction236wangxizhe.py(11.9 KB)
    - analysis_05_value_segmentation236wangxizhe.py(4.6 KB)
    - step1_clean236wangxizhe.py(6.43 KB)
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2026数据科学与大数据技术一套基于机器学习的钻石价格数据分析与可视化3.87-AI10.0(论文+程序代码源码+原始源数据表+运行指导)定稿.zip