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# It is convention that X holds the Feature array and y holds the label array
X = iris.data
y = iris.target

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# The Dimensions are retured using the shape attribute
print(iris.data.shape)
print(iris.target.shape)

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# Every coloums is a feature 
# Every Row is an observation
print(iris.feature_names)

# Prints the Target Species 
print(iris.target)

# PRitn the names of the species
print(iris.target_names)

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# Import the Iris Dataset
from sklearn.datasets import load_iris

# Really load Iris
iris = load_iris()