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来自维基百科,自由的百科全书
安德森鳶尾花卉資料集(英文:Anderson's Iris data set),也稱鳶尾花卉資料集(英文:Iris flower data set)或費雪鳶尾花卉資料集(英文:Fisher's Iris data set),是一種多重變數分析的資料集。它最初是埃德加·安德森從加拿大加斯帕半島的鳶尾屬花朵中提取的形態學變異資料[1],後由羅納德·費雪作為判別分析的一個例子[2],運用到統計學中。
其資料集包含了150個樣本,都屬於鳶尾屬下的3個亞屬,分別是山鳶尾、變色鳶尾和維吉尼亞鳶尾。每個樣本都包含4項特徵,即花萼和花瓣的長度和寬度,它們可用於樣本的定量分析。基於這些特徵,費雪發展了能夠確定其屬種的線性判別分析。
度量單位為公分:
花萼長度 | 花萼寬度 | 花瓣長度 | 花瓣寬度 | 屬種 |
---|---|---|---|---|
5.1 | 3.5 | 1.4 | 0.2 | setosa |
4.9 | 3.0 | 1.4 | 0.2 | setosa |
4.7 | 3.2 | 1.3 | 0.2 | setosa |
4.6 | 3.1 | 1.5 | 0.2 | setosa |
5.0 | 3.6 | 1.4 | 0.2 | setosa |
5.4 | 3.9 | 1.7 | 0.4 | setosa |
4.6 | 3.4 | 1.4 | 0.3 | setosa |
5.0 | 3.4 | 1.5 | 0.2 | setosa |
4.4 | 2.9 | 1.4 | 0.2 | setosa |
4.9 | 3.1 | 1.5 | 0.1 | setosa |
5.4 | 3.7 | 1.5 | 0.2 | setosa |
4.8 | 3.4 | 1.6 | 0.2 | setosa |
4.8 | 3.0 | 1.4 | 0.1 | setosa |
4.3 | 3.0 | 1.1 | 0.1 | setosa |
5.8 | 4.0 | 1.2 | 0.2 | setosa |
5.7 | 4.4 | 1.5 | 0.4 | setosa |
5.4 | 3.9 | 1.3 | 0.4 | setosa |
5.1 | 3.5 | 1.4 | 0.3 | setosa |
5.7 | 3.8 | 1.7 | 0.3 | setosa |
5.1 | 3.8 | 1.5 | 0.3 | setosa |
5.4 | 3.4 | 1.7 | 0.2 | setosa |
5.1 | 3.7 | 1.5 | 0.4 | setosa |
4.6 | 3.6 | 1.0 | 0.2 | setosa |
5.1 | 3.3 | 1.7 | 0.5 | setosa |
4.8 | 3.4 | 1.9 | 0.2 | setosa |
5.0 | 3.0 | 1.6 | 0.2 | setosa |
5.0 | 3.4 | 1.6 | 0.4 | setosa |
5.2 | 3.5 | 1.5 | 0.2 | setosa |
5.2 | 3.4 | 1.4 | 0.2 | setosa |
4.7 | 3.2 | 1.6 | 0.2 | setosa |
4.8 | 3.1 | 1.6 | 0.2 | setosa |
5.4 | 3.4 | 1.5 | 0.4 | setosa |
5.2 | 4.1 | 1.5 | 0.1 | setosa |
5.5 | 4.2 | 1.4 | 0.2 | setosa |
4.9 | 3.1 | 1.5 | 0.2 | setosa |
5.0 | 3.2 | 1.2 | 0.2 | setosa |
5.5 | 3.5 | 1.3 | 0.2 | setosa |
4.9 | 3.6 | 1.4 | 0.1 | setosa |
4.4 | 3.0 | 1.3 | 0.2 | setosa |
5.1 | 3.4 | 1.5 | 0.2 | setosa |
5.0 | 3.5 | 1.3 | 0.3 | setosa |
4.5 | 2.3 | 1.3 | 0.3 | setosa |
4.4 | 3.2 | 1.3 | 0.2 | setosa |
5.0 | 3.5 | 1.6 | 0.6 | setosa |
5.1 | 3.8 | 1.9 | 0.4 | setosa |
4.8 | 3.0 | 1.4 | 0.3 | setosa |
5.1 | 3.8 | 1.6 | 0.2 | setosa |
4.6 | 3.2 | 1.4 | 0.2 | setosa |
5.3 | 3.7 | 1.5 | 0.2 | setosa |
5.0 | 3.3 | 1.4 | 0.2 | setosa |
7.0 | 3.2 | 4.7 | 1.4 | versicolor |
6.4 | 3.2 | 4.5 | 1.5 | versicolor |
6.9 | 3.1 | 4.9 | 1.5 | versicolor |
5.5 | 2.3 | 4.0 | 1.3 | versicolor |
6.5 | 2.8 | 4.6 | 1.5 | versicolor |
5.7 | 2.8 | 4.5 | 1.3 | versicolor |
6.3 | 3.3 | 4.7 | 1.6 | versicolor |
4.9 | 2.4 | 3.3 | 1.0 | versicolor |
6.6 | 2.9 | 4.6 | 1.3 | versicolor |
5.2 | 2.7 | 3.9 | 1.4 | versicolor |
5.0 | 2.0 | 3.5 | 1.0 | versicolor |
5.9 | 3.0 | 4.2 | 1.5 | versicolor |
6.0 | 2.2 | 4.0 | 1.0 | versicolor |
6.1 | 2.9 | 4.7 | 1.4 | versicolor |
5.6 | 2.9 | 3.6 | 1.3 | versicolor |
6.7 | 3.1 | 4.4 | 1.4 | versicolor |
5.6 | 3.0 | 4.5 | 1.5 | versicolor |
5.8 | 2.7 | 4.1 | 1.0 | versicolor |
6.2 | 2.2 | 4.5 | 1.5 | versicolor |
5.6 | 2.5 | 3.9 | 1.1 | versicolor |
5.9 | 3.2 | 4.8 | 1.8 | versicolor |
6.1 | 2.8 | 4.0 | 1.3 | versicolor |
6.3 | 2.5 | 4.9 | 1.5 | versicolor |
6.1 | 2.8 | 4.7 | 1.2 | versicolor |
6.4 | 2.9 | 4.3 | 1.3 | versicolor |
6.6 | 3.0 | 4.4 | 1.4 | versicolor |
6.8 | 2.8 | 4.8 | 1.4 | versicolor |
6.7 | 3.0 | 5.0 | 1.7 | versicolor |
6.0 | 2.9 | 4.5 | 1.5 | versicolor |
5.7 | 2.6 | 3.5 | 1.0 | versicolor |
5.5 | 2.4 | 3.8 | 1.1 | versicolor |
5.5 | 2.4 | 3.7 | 1.0 | versicolor |
5.8 | 2.7 | 3.9 | 1.2 | versicolor |
6.0 | 2.7 | 5.1 | 1.6 | versicolor |
5.4 | 3.0 | 4.5 | 1.5 | versicolor |
6.0 | 3.4 | 4.5 | 1.6 | versicolor |
6.7 | 3.1 | 4.7 | 1.5 | versicolor |
6.3 | 2.3 | 4.4 | 1.3 | versicolor |
5.6 | 3.0 | 4.1 | 1.3 | versicolor |
5.5 | 2.5 | 4.0 | 1.3 | versicolor |
5.5 | 2.6 | 4.4 | 1.2 | versicolor |
6.1 | 3.0 | 4.6 | 1.4 | versicolor |
5.8 | 2.6 | 4.0 | 1.2 | versicolor |
5.0 | 2.3 | 3.3 | 1.0 | versicolor |
5.6 | 2.7 | 4.2 | 1.3 | versicolor |
5.7 | 3.0 | 4.2 | 1.2 | versicolor |
5.7 | 2.9 | 4.2 | 1.3 | versicolor |
6.2 | 2.9 | 4.3 | 1.3 | versicolor |
5.1 | 2.5 | 3.0 | 1.1 | versicolor |
5.7 | 2.8 | 4.1 | 1.3 | versicolor |
6.3 | 3.3 | 6.0 | 2.5 | virginica |
5.8 | 2.7 | 5.1 | 1.9 | virginica |
7.1 | 3.0 | 5.9 | 2.1 | virginica |
6.3 | 2.9 | 5.6 | 1.8 | virginica |
6.5 | 3.0 | 5.8 | 2.2 | virginica |
7.6 | 3.0 | 6.6 | 2.1 | virginica |
4.9 | 2.5 | 4.5 | 1.7 | virginica |
7.3 | 2.9 | 6.3 | 1.8 | virginica |
6.7 | 2.5 | 5.8 | 1.8 | virginica |
7.2 | 3.6 | 6.1 | 2.5 | virginica |
6.5 | 3.2 | 5.1 | 2.0 | virginica |
6.4 | 2.7 | 5.3 | 1.9 | virginica |
6.8 | 3.0 | 5.5 | 2.1 | virginica |
5.7 | 2.5 | 5.0 | 2.0 | virginica |
5.8 | 2.8 | 5.1 | 2.4 | virginica |
6.4 | 3.2 | 5.3 | 2.3 | virginica |
6.5 | 3.0 | 5.5 | 1.8 | virginica |
7.7 | 3.8 | 6.7 | 2.2 | virginica |
7.7 | 2.6 | 6.9 | 2.3 | virginica |
6.0 | 2.2 | 5.0 | 1.5 | virginica |
6.9 | 3.2 | 5.7 | 2.3 | virginica |
5.6 | 2.8 | 4.9 | 2.0 | virginica |
7.7 | 2.8 | 6.7 | 2.0 | virginica |
6.3 | 2.7 | 4.9 | 1.8 | virginica |
6.7 | 3.3 | 5.7 | 2.1 | virginica |
7.2 | 3.2 | 6.0 | 1.8 | virginica |
6.2 | 2.8 | 4.8 | 1.8 | virginica |
6.1 | 3.0 | 4.9 | 1.8 | virginica |
6.4 | 2.8 | 5.6 | 2.1 | virginica |
7.2 | 3.0 | 5.8 | 1.6 | virginica |
7.4 | 2.8 | 6.1 | 1.9 | virginica |
7.9 | 3.8 | 6.4 | 2.0 | virginica |
6.4 | 2.8 | 5.6 | 2.2 | virginica |
6.3 | 2.8 | 5.1 | 1.5 | virginica |
6.1 | 2.6 | 5.6 | 1.4 | virginica |
7.7 | 3.0 | 6.1 | 2.3 | virginica |
6.3 | 3.4 | 5.6 | 2.4 | virginica |
6.4 | 3.1 | 5.5 | 1.8 | virginica |
6.0 | 3.0 | 4.8 | 1.8 | virginica |
6.9 | 3.1 | 5.4 | 2.1 | virginica |
6.7 | 3.1 | 5.6 | 2.4 | virginica |
6.9 | 3.1 | 5.1 | 2.3 | virginica |
5.8 | 2.7 | 5.1 | 1.9 | virginica |
6.8 | 3.2 | 5.9 | 2.3 | virginica |
6.7 | 3.3 | 5.7 | 2.5 | virginica |
6.7 | 3.0 | 5.2 | 2.3 | virginica |
6.3 | 2.5 | 5.0 | 1.9 | virginica |
6.5 | 3.0 | 5.2 | 2.0 | virginica |
6.2 | 3.4 | 5.4 | 2.3 | virginica |
5.9 | 3.0 | 5.1 | 1.8 | virginica |
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