/Python/Feature importance naive bayes python

Feature importance naive bayes python

neg_class_prob_sorted = NB_optimal.feature_log_prob_[0, :].argsort()[::-1]
pos_class_prob_sorted = NB_optimal.feature_log_prob_[1, :].argsort()[::-1]

print(np.take(count_vect.get_feature_names(), neg_class_prob_sorted[:10]))
print(np.take(count_vect.get_feature_names(), pos_class_prob_sorted[:10]))

Source: stackoverflow.com

Similar codes

2 votes289 views1 answer
Get guild from a channel discord py
Python
0 vote244 views1 answer
Scipy.arange is deprecated and will be removed
Python
3 votes347 views1 answer
Django import model from another app
Python Django
108 votes310 views6 answers
Dataframe sort by column
Python
0 vote278 views1 answer
Correlation between images python
Python
0 vote311 views1 answer
Range function with for loop in python
Python
3 votes313 views1 answer
How to get 2 random inputs in a list using for loop
Python
201 votes355 views10 answers
Pip upgrade command
Python
0 vote305 views1 answer
Pandas df where row has na
Python
1 vote317 views1 answer
Swap rows and columns pandas
Python