Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
このデータセットは動物園の101匹の動物から構成されています。
動物を説明するための様々な特徴を持つ16の変数があります。
7つのクラスタイプは次の通りです：哺乳類、鳥類、爬虫類、魚類、両生類、昆虫、無脊椎動物
このデータセットの目的は、変数に基づいて動物の分類を予測できるようにすることです。
機械学習の学習を始めたばかりの人には最適なデータセットです。
# zoo.csv
属性情報：（属性名と値のドメインのタイプ）
1. animal_name: 各インスタンスに固有
2. hair 論理値
3. feathers 論理値
4. eggs 論理値
5. milk 論理値
6. airborne 論理値
7. aquatic 論理値
8. predator 論理値
9. toothed 論理値
10. backbone 論理値
11. breathes 論理値
12. venomous 論理値
13. fins 論理値
14. legs 数値（値の集合: {0,2,4,5,6,8}）
15. tail 論理値
16. domestic 論理値
17. catsize 論理値
18. class_type 数値（範囲 [1,7] の整数値）
# class.csv
このCSVファイルはデータセットを説明しています。
1. Class_Number 数値（範囲 [1,7] の整数値）
2. Number_Of_Animal_Species_In_Class 数値
3. Class_Type 文字列 -- クラスの実際の説明
4. Animal_Names 文字列 -- クラスのカテゴリに属する動物のリスト
# 謝辞
UCI Machine Learning: https://archive.ics.uci.edu/ml/datasets/Zoo
ソース情報
-- 作成者: Richard Forsyth
-- 提供者: Richard S. Forsyth
8 Grosvenor Avenue
Mapperley Park
Nottingham NG3 5DX
0602-621676
-- 日付: 1990年5月15日
# 着想
与えられた変数に基づいてこれらの動物を分類するための最良の機械学習アンサンブル/手法は何ですか？
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- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
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