Gaussian

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import GaussianNB
X, y = load_iris(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=142)
Naive_Bayes = GaussianNB()
Naive_Bayes.fit(X_train, y_train)
prediction_results = Naive_Bayes.predict(X_test)  
print(prediction_results)

Source: analyticsvidhya.com

Similar codes

0 vote189 views1 answer
Python remove file with pattern
Python
0 vote147 views1 answer
How to import a all the modules in a packege python
Python
1 vote150 views1 answer
Number table python
Python
0 vote149 views1 answer
Jupyter notebook loading bar
Python
0 vote151 views1 answer
How to check current version of library in python
Python
14 votes189 views6 answers
Join tables pandas
Python
5 votes153 views1 answer
Mutable and immutable in python
Python
0 vote165 views1 answer
Python function with infinite parameters
Python
2 votes155 views1 answer
Hash table in python
Python
7 votes186 views2 answers
Sort list by attribute python
Python