4 datasets found
  1. h

    my_iris

    • huggingface.co
    Updated Sep 20, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ralf Beier (2024). my_iris [Dataset]. https://huggingface.co/datasets/beierr1/my_iris
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 20, 2024
    Authors
    Ralf Beier
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Description

    Iris Species Dataset

    The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other. The dataset is taken from UCI Machine Learning Repository's… See the full description on the dataset page: https://huggingface.co/datasets/beierr1/my_iris.

  2. Iris (Augmented)

    • kaggle.com
    Updated Oct 18, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Mathurin Aché (2020). Iris (Augmented) [Dataset]. https://www.kaggle.com/datasets/mathurinache/iris-augmented/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 18, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mathurin Aché
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository.

    It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.

    The columns in this dataset are:

    Id SepalLengthCm SepalWidthCm PetalLengthCm PetalWidthCm Species

    New : Extra Data Generated With CTGAN

  3. h

    iris

    • huggingface.co
    Updated Sep 23, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    scikit-learn (2022). iris [Dataset]. https://huggingface.co/datasets/scikit-learn/iris
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 23, 2022
    Dataset authored and provided by
    scikit-learn
    License

    https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

    Description

    Iris Species Dataset

    The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other. The dataset is taken from UCI Machine Learning Repository's… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/iris.

  4. Iris Species

    • kaggle.com
    zip
    Updated Sep 27, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UCI Machine Learning (2016). Iris Species [Dataset]. https://www.kaggle.com/datasets/uciml/iris
    Explore at:
    zip(3687 bytes)Available download formats
    Dataset updated
    Sep 27, 2016
    Dataset authored and provided by
    UCI Machine Learning
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository.

    It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.

    The columns in this dataset are:

    • Id
    • SepalLengthCm
    • SepalWidthCm
    • PetalLengthCm
    • PetalWidthCm
    • Species

    Sepal Width vs. Sepal Length

  5. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Ralf Beier (2024). my_iris [Dataset]. https://huggingface.co/datasets/beierr1/my_iris

my_iris

beierr1/my_iris

Explore at:
4 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 20, 2024
Authors
Ralf Beier
License

https://choosealicense.com/licenses/cc0-1.0/https://choosealicense.com/licenses/cc0-1.0/

Description

Iris Species Dataset

The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other. The dataset is taken from UCI Machine Learning Repository's… See the full description on the dataset page: https://huggingface.co/datasets/beierr1/my_iris.

Search
Clear search
Close search
Google apps
Main menu