Xgboost feature importance

import matplotlib.pyplot as plt
from xgboost import plot_importance, XGBClassifier # or XGBRegressor

model = XGBClassifier() # or XGBRegressor

# X and y are input and target arrays of numeric variables
model.fit(X,y)
plot_importance(model, importance_type = 'gain') # other options available
plt.show()
# if you need a dictionary 
model.get_booster().get_score(importance_type = 'gain')

Similar codes

1 vote173 views1 answer
Python increase one item in list
Python
0 vote169 views1 answer
Kivy button on press call function with arguments
Python
0 vote170 views1 answer
Young C so new(pro.cashmoneyap x nazz music) soundcloud
Python
0 vote172 views1 answer
Equivalent of geom smooth function in python using plotline lib
Python
0 vote153 views1 answer
Microsoft python
Python
-1 vote166 views1 answer
Get_int python
Python
5 votes161 views1 answer
Tkiner border
Python
0 vote161 views1 answer
How to upgrade python from 2.7 to 2.9 on ubuntu 14.04
Python
1 vote166 views2 answers
Python conditional operator one line
Python
-1 vote153 views1 answer
Qtablewidget add row python
Python