regression best random state

1#x->independent variable
2#y->dependent variable
3#model->algorithm
4def maxr2_score(model,x,y):
5    max_r_score=0
6    for r_state in range(42,101):
7        
8        x_train,x_test,y_train,y_test=train_test_split(x,y,random_state=r_state)
9        model.fit(x_train,y_train)
10        pred=model.predict(x_test)
11        score=r2_score(y_test,pred)
12        
13        if score>max_r_score:
14            max_r_score=score
15            final_r_state=r_state
16    print('max_r2_score is at random_state  ',final_r_state,'  which is  ',max_r_score)
17    return final_r_state
18    
19