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ghodsizadeh/ml_iris_read.py

Last active March 24, 2020 13:29
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ml_iris_read.py
from sklearn import datasets
iris = datasets.load_iris()
X = iris.data[:,[2,3]] # just get two features of iris dataset, to plot decision boundry
y = iris.target
print('Class Labels', np.unique(y))
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size =0.3, random_state =1, stratify =y)
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