import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
 
x=np.array([[1,2],[2,3],[3,1],[4,3],[5,3]])
y=np.array([0,0,0,1,1])
 
x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2,random_state=42) 
model=LogisticRegression()
model.fit(x_train,y_train)
 
y_pred=model.predict(x_test)
 
accuracy=accuracy_score(y_test,y_pred)
print("acurcy:",accuracy)

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