{
  "fetched_at": "2026-10-20T00:36:57Z",
  "source_url": "https://www.kaggle.com/competitions/aia-cm111-ev111-dl-kaggle/data",
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      "content": "<h1>File description</h1>\ntrain.csv - the training set\n\ntest.csv - the test set\n\nsampleSubmission.csv - a sample submission file in the correct format\n\n<h2>資料包括之欄位如下:</h2>\nElevation - Elevation in meters\n\nAspect - Aspect in degrees azimuth\n\nSlope - Slope in degrees\n\nHorizontal_Distance_To_Hydrology - Horz Dist to nearest surface water features\n\nVertical_Distance_To_Hydrology - Vert Dist to nearest surface water features\n\nHorizontal_Distance_To_Roadways - Horz Dist to nearest roadway\n\nHillshade_9am (0 to 255 index) - Hillshade index at 9am, summer solstice\n\nHillshade_Noon (0 to 255 index) - Hillshade index at noon, summer solstice\n\nHillshade_3pm (0 to 255 index) - Hillshade index at 3pm, summer solstice\n\nHorizontal_Distance_To_Fire_Points - Horz Dist to nearest wildfire ignition points\n\nWilderness_Area (4 binary columns, 0 = absence or 1 = presence) - Wilderness area designation\n\nSoil_Type (40 binary columns, 0 = absence or 1 = presence) - Soil Type designation\n\nCover_Type (7 types, integers 0 to 6) - Forest Cover Type designation\n\nThe wilderness areas are:\n\n- 1 - Rawah Wilderness Area\n- 2 - Neota Wilderness Area\n- 3 - Comanche Peak Wilderness Area\n- 4 - Cache la Poudre Wilderness Area\n\nThe soil types are:\n\n- Cathedral family - Rock outcrop complex, extremely stony.\n- Vanet - Ratake families complex, very stony.\n- Haploborolis - Rock outcrop complex, rubbly.\n- Ratake family - Rock outcrop complex, rubbly.\n- Vanet family - Rock outcrop complex complex, rubbly.\n- Vanet - Wetmore families - Rock outcrop complex, stony.\nGothic family.\n- Supervisor - Limber families complex.\n- Troutville family, very stony.\n- Bullwark - Catamount families - Rock outcrop complex, rubbly.\n- Bullwark - Catamount families - Rock land complex, rubbly.\n- Legault family - Rock land complex, stony.\n- Catamount family - Rock land - Bullwark family complex, rubbly.\n- Pachic Argiborolis - Aquolis complex.\n- unspecified in the USFS Soil and ELU Survey.\n- Cryaquolis - Cryoborolis complex.\n- Gateview family - Cryaquolis complex.\n- Rogert family, very stony.\n- Typic Cryaquolis - Borohemists complex.\n- Typic Cryaquepts - Typic Cryaquolls complex.\n- Typic Cryaquolls - Leighcan family, till substratum complex.\n- Leighcan family, till substratum, extremely bouldery.\n- Leighcan family, till substratum - Typic Cryaquolls complex.\n- Leighcan family, extremely stony.\n- Leighcan family, warm, extremely stony.\n- Granile - Catamount families complex, very stony.\n- Leighcan family, warm - Rock outcrop complex, extremely stony.\n- Leighcan family - Rock outcrop complex, extremely stony.\n- Como - Legault families complex, extremely stony.\n- Como family - Rock land - Legault family complex, extremely stony.\n- Leighcan - Catamount families complex, extremely stony.\n- Catamount family - Rock outcrop - Leighcan family complex, extremely stony.\n- Leighcan - Catamount families - Rock outcrop complex, extremely stony.\n- Cryorthents - Rock land complex, extremely stony.\n- Cryumbrepts - Rock outcrop - Cryaquepts complex.\n- Bross family - Rock land - Cryumbrepts complex, extremely stony.\n- Rock outcrop - Cryumbrepts - Cryorthents complex, extremely stony.\n- Leighcan - Moran families - Cryaquolls complex, extremely stony.\n- Moran family - Cryorthents - Leighcan family complex, extremely stony.\n- Moran family - Cryorthents - Rock land complex, extremely stony.\n\n<h2>Reference</h2>\nhttps://www.kaggle.com/competitions/forest-cover-type-prediction/data",
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      "name": "Description",
      "content": "<h1>分類不同森林的類型</h1>\n<h2>題目類型 - 分類問題：</h2>\n共有 7 總類型森林 , 分別為 class 0, 1, 2, 3, 4, 5 or 6，其中\n\n- 0 Krummholz\n- 1 Aspen\n- 2 Spruce/Fir\n- 3 Lodgepole Pine\n- 4 Ponderosa Pine\n- 5 Cottonwood/Willow\n- 6 Douglas-fir\n\n<h2>問題：</h2>\n預測森林的類型 (0, 1, 2, 3, 4, 5, 6)\n\n<h2>練習方向：</h2>\n- Data preprocessing and feature engineering\n- DNN model construction and hyper-parameter tuning\n- Metrics: Accuracy\n\n<h2>通過條件：</h2>\n超越 Public baseline\n\n<h2>上傳次數：</h2>\n一天可以上傳 20 次，上傳時，**Team Name** 請以您的學號命名，如：CM111XXX、EV111XXX",
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    {
      "name": "Evaluation",
      "content": "Metrics\nThe evaluation metric for this competition is [Accuracy-Score](https://en.wikipedia.org/wiki/Accuracy_and_precision).",
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    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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