regression best random_state

#x->independent variable
#y->dependent variable
#model->algorithm
def maxr2_score(model,x,y):
    max_r_score=0
    for r_state in range(42,101):
        
        x_train,x_test,y_train,y_test=train_test_split(x,y,random_state=r_state)
        model.fit(x_train,y_train)
        pred=model.predict(x_test)
        score=r2_score(y_test,pred)
        
        if score>max_r_score:
            max_r_score=score
            final_r_state=r_state
    print('max_r2_score is at random_state  ',final_r_state,'  which is  ',max_r_score)
    return final_r_state

Add Own solution

Are there any code examples left?

Find Add Code snippet

New code examples in category Python

Python 2023-04-11 03:04:20
Python 2022-03-27 22:40:04 pycharm no module named
Python 2022-03-27 22:25:05 assign multiple variablesin one line
Python 2022-03-27 22:20:02 levenshtein distance
Python 2022-03-27 21:35:09 get text from url python last slash
Python 2022-03-27 21:30:30 df concatenate df
Python 2022-03-27 21:25:09 python odd or even
Python 2022-03-27 21:15:32 python include function from another file
Python 2022-03-27 21:10:01 color module python
Python 2022-03-27 21:00:27 python tkinter cursor types

Create a Free Account

Unlock the power of data and AI by diving into Python, ChatGPT, SQL, Power BI, and beyond.

Develop soft skills on BrainApps

Complete the IQ Test

Relative searches

lineaRegression random seed avoid randon state in python model why is random_tate used in sklearn linear regression linear regression random state should I keep random state = 0 or 1 in random forest regressor random state in linear regression regression best random_state

regression best random_state

Welcome Back!

Create a Free Account