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  1. Iris Dataset - GeeksforGeeks

  2. アイリス祭2024 5月14日よりオンライン開催 アウトレット商 …

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    The Iris dataset comprises measurements of iris flowers from three different species: Setosa, Versicolor, and Virginica. Each sample consists of four features: sepal length, sepal width, petal length, and petal width. Additionally, each sample is labeled with its corresponding species. Dataset Link: Iris Dataset
    The “iris” dataset, reshapes it into a matrix form, and then plots a heatmap using the `heatmap ()` function to visualize the mean petal length across different combinations of sepal length and sepal width. Output:
    Exploratory Data Analysis: Studying the distribution of features, relationships between variables, and outliers in the dataset. Feature Selection: Identifying the most important features that contribute to classification accuracy, the Iris dataset is used to demonstrate or test feature selection techniques.
    It was introduced by the British biologist and statistician Ronald Fisher in 1936 as an example of discriminant analysis. The Iris dataset is often used as a beginner’s dataset to understand classification and clustering algorithms in machine learning.
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  6. Iris dataset in R - GeeksforGeeks

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