import numpy as np
from sklearn.neighbors import KNeighborsClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
x=np.array([[3,5],[4,7],[5,3],[6,4],[8,2],[9,6]])
y=np.array([0,0,1,1,1,0])
x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2,random_state=42)
model=KNeighborsClassifier(n_neighbors=3)
model.fit(x_train,y_train)
y_pred=model.predict(x_test)
accuracy=accuracy_score(y_test,y_pred)
print("Accuracy:",accuracy)

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