{
  "fetched_at": "2026-10-20T04:32:25Z",
  "source_url": "https://www.kaggle.com/competitions/aia-hs3-ml/data",
  "pages": [
    {
      "name": "rules",
      "content": "詳見 Overview 說明",
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      "name": "data-description",
      "content": "## File description ##\n- train.csv - the training set\n- test.csv - the test set\n- sampleSubmission.csv - a sample submission file in the correct format\n\n## 資料包括之欄位如下: ##\n- appearedTimeOfDay - time of the day of a sighting (night, evening, afternoon, morning)\n- appearedHour/appearedMinute - local hour/minute of a sighting (numeric)\n- terrainType - terrain where pokemon appeared described with help of GLCF Modis Land Cover (numeric)\n- closeToWater - did pokemon appear close (100m or less) to water (Boolean, same source as above)\n- city - the city of a sighting (nominal)\n- continent (not always parsed right) - the continent of a sighting (nominal)\n- weather - weather type during a sighting (Foggy Clear, PartlyCloudy, MostlyCloudy, Overcast, Rain, BreezyandOvercast, LightRain, Drizzle, BreezyandPartlyCloudy, HeavyRain, BreezyandMostlyCloudy, Breezy, Windy, WindyandFoggy, Humid, Dry, WindyandPartlyCloudy, DryandMostlyCloudy, DryandPartlyCloudy, DrizzleandBreezy, LightRainandBreezy, HumidandPartlyCloudy, HumidandOvercast, RainandWindy)\n- temperature - temperature in celsius at the location of a sighting (numeric)\n- windSpeed - speed of the wind in km/h at the location of a sighting (numeric)\n- windBearing - wind direction (numeric)\n- pressure - atmospheric pressure in bar at the location of a sighting (numeric)\n- weatherIcon - a compact representation of the weather at the location of a sighting (fog, clear-night, partly-cloudy-night, partly-cloudy-day, cloudy, clear-day, rain, wind)\n- population density - what is the population density per square km of a sighting (numeric, Source)\n- urban-rural - how urban is location where pokemon appeared (Boolean, built on Population density, <200 for rural, >=200 and <400 for midUrban, >=400 and <800 for subUrban, >800 for urban)\n- gymDistanceKm, pokestopDistanceKm - how far is the nearest gym/pokestop in km from a sighting? (numeric, extracted from this dataset)\n- gymIn100m-pokestopIn5000m - is there a gym/pokestop in 100/200/etc meters? (Boolean)\n- cooc 1-cooc 151 - co-occurrence with any other pokemon (pokemon ids range between 1 and 151) within 100m distance and within the last 24 hours (Boolean) [List of Pokémon by National Pokédex number](https://bulbapedia.bulbagarden.net/wiki/List_of_Pok%C3%A9mon_by_National_Pok%C3%A9dex_number)\n- class - says which pokemon it is, to be predicted.",
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    {
      "name": "Description",
      "content": "## 大家一起來分類寶可夢吧 ##\n### 題目類型 - 分類問題 : ###\n\n<p> class 總共有 6 種不同的寶可夢，分別為 class 0, 1, 2, 3, 4 or 5 ，其中 </p>\n\n- class 0 = [Sandshrew][1] No.27\n- class 1 = [Tentacool][2] No.72\n- class 2 = [Slowpoke][3] No.79\n- class 3 = [Magnemite][4] No.81\n- class 4 = [Voltorb][5] No.100\n- class 5 = [Exeggcute][6] No.102\n\n### 問題 :  ###\n<p> 預測每筆 data 的寶可夢類別 (0, 1, 2, 3, 4 or 5) </p>\n\n### 練習方向 : ###\n<p>Data preprocessing and feature engineering SVM, Forest, and other ml models Metrics: Accuracy</p>\n\n### 通過條件 : ###\n<p> 超越 Public baseline </p>\n\n### 上傳次數 : ###\n<p> 一天可以上傳20次，上傳時，Team Name請以您的學號命名，如JT072001。 </p>",
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    {
      "name": "Evaluation",
      "content": "## Metrics ##\nThe evaluation metric for this competition is [Accuracy-Score][1].\n\n\n  [1]: https://en.wikipedia.org/wiki/Accuracy_and_precision",
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