iris dataset

相關問題 & 資訊整理

iris dataset

The Iris Dataset contains four features (length and width of sepals and petals) of 50 samples of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). ,This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out ... , Classify iris plants into three species in this classic dataset. UCI Machine Learning. • updated 4 years ago (Version 2)., The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the ...,機器學習資料集/ 範例三: The iris dataset. ​http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html​. 這個範例目的是介紹機器學習範例資料 ... ,安德森鳶尾花卉數據集(英文:Anderson's Iris data set),也稱鳶尾花卉數據集(英文:Iris flower data set)或費雪鳶尾花卉數據集(英文:Fisher's Iris data ... , Iris dataset 是一個古典的花朵資料集,由英國統計學家Ronald Fisher 爵士在1936年時,對加斯帕半島上的鳶尾屬花朵所提取的花瓣花萼的長寬 ...,The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 ... , 若要載入Iris 資料集只要import sklearn的datasets之後,使用load_iris()就可以獲得資料,回傳的資料格式為dictionary,因此需要做一些資料處理 ...,The Iris Dataset¶. This data sets consists of 3 different types of irises' (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.

相關軟體 Weka (64-bit) 資訊

Weka (64-bit)
Weka 64 位(懷卡托知識分析環境)是用 Java 編寫的流行的機器學習軟件套件。 Weka 是用於數據挖掘任務的機器學習算法的集合。算法可以直接應用於數據集,也可以從您自己的 Java 代碼中調用。 Weka 包含數據預處理,分類,回歸,聚類,關聯規則和可視化的工具。它也非常適合開發新的機器學習方案。 Weka 64 位是 GNU 通用公共許可證下的開源軟件. 注意:需要 Java Runt... Weka (64-bit) 軟體介紹

iris dataset 相關參考資料
Data Science Example - Iris dataset - LAC - INPE

The Iris Dataset contains four features (length and width of sepals and petals) of 50 samples of three species of Iris (Iris setosa, Iris virginica and Iris versicolor).

http://www.lac.inpe.br

The Iris Dataset · GitHub

This is the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out ...

https://gist.github.com

Iris Species | Kaggle

Classify iris plants into three species in this classic dataset. UCI Machine Learning. • updated 4 years ago (Version 2).

https://www.kaggle.com

Iris Data Set - UCI Machine Learning Repository

The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the ...

https://archive.ics.uci.edu

Ex 3: The iris 鳶尾花資料集- machine-learning

機器學習資料集/ 範例三: The iris dataset. ​http://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html​. 這個範例目的是介紹機器學習範例資料 ...

https://machine-learning-pytho

安德森鳶尾花卉數據集- 維基百科,自由的百科全書 - Wikipedia

安德森鳶尾花卉數據集(英文:Anderson's Iris data set),也稱鳶尾花卉數據集(英文:Iris flower data set)或費雪鳶尾花卉數據集(英文:Fisher's Iris data ...

https://zh.wikipedia.org

機器學習資料集- Iris dataset - Xeno Universe

Iris dataset 是一個古典的花朵資料集,由英國統計學家Ronald Fisher 爵士在1936年時,對加斯帕半島上的鳶尾屬花朵所提取的花瓣花萼的長寬 ...

https://blog.yeshuanova.com

Iris flower data set - Wikipedia

The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 ...

https://en.wikipedia.org

[資料分析&機器學習] 第2.1講: 如何獲取資料? Sklearn內建 ...

若要載入Iris 資料集只要import sklearn的datasets之後,使用load_iris()就可以獲得資料,回傳的資料格式為dictionary,因此需要做一些資料處理 ...

https://medium.com

The Iris Dataset — scikit-learn 0.23.2 documentation

The Iris Dataset¶. This data sets consists of 3 different types of irises' (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.

http://scikit-learn.org