/Python/How to improve accuracy of random forest classifier

How to improve accuracy of random forest classifier

from sklearn.model_selection import GridSearchCV
cv = GridSearchCV(rfc,parameters,cv=5)
cv.fit(train_features,train_label.values.ravel())

Source: datasciencelearner.com

How to improve accuracy of random forest classifier

display(cv)

Source: datasciencelearner.com

How to improve accuracy of random forest classifier

def display(results):
    print(f'Best parameters are: {results.best_params_}')
    print("\n")
    mean_score = results.cv_results_['mean_test_score']
    std_score = results.cv_results_['std_test_score']
    params = results.cv_results_['params']
    for mean,std,params in zip(mean_score,std_score,params):
        print(f'{round(mean,3)} + or -{round(std,3)} for the {params}')

Source: datasciencelearner.com

Similar codes

0 vote200 views1 answer
Django list view
Python Django
0 vote139 views1 answer
Python integer to string format
Python
0 vote139 views1 answer
Y=mx+b python
Python
0 vote139 views1 answer
Initiate dask
Python
1 vote149 views2 answers
Stdin and stdout python
Python
0 vote138 views1 answer
Python how to compress pytorch model
Python
2 votes127 views1 answer
Father's day 2020
Python
0 vote134 views2 answers
How to read mysql table in python
Python
-1 vote151 views4 answers
Flask docs
Python
1 vote146 views3 answers
Discord.py aliases
Python