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The Iris dataset consists of measurements of various attributes of three different species of iris flowers: Setosa, Versicolor, and Virginica. The attributes or features measured in the dataset are as follows: Sepal length (in centimeters) Sepal width (in centimeters) Petal length (in centimeters) Petal width (in centimeters)

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Iris Flowers Classification ML Project

Dataset Information

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 other 2; the latter are NOT linearly separable from each other.

Attribute Information:-

sepal length in cm

sepal width in cm

petal length in cm

petal width in cm

species: -- Iris Setosa -- Iris Versicolour -- Iris Virginica

Libraries

pandas

matplotlib

seaborn

scikit-learn

Algorithms

Logistic Regression

K-Nearest Neighbors

Best Model Accuracy: 93.33.

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The Iris dataset consists of measurements of various attributes of three different species of iris flowers: Setosa, Versicolor, and Virginica. The attributes or features measured in the dataset are as follows: Sepal length (in centimeters) Sepal width (in centimeters) Petal length (in centimeters) Petal width (in centimeters)

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