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x = iris.drop("species", axis=1) | |
y = iris["species"] | |
from sklearn.model_selection import train_test_split | |
x_train, x_test, y_train, y_test = train_test_split(x, y, | |
test_size=0.2, | |
random_state=0) | |
from sklearn.neighbors import KNeighborsClassifier | |
knn = KNeighborsClassifier(n_neighbors=1) | |
knn.fit(x_train, y_train) |
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