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 vote137 views2 answers
Cumulative chart python plotly
Python
1 vote125 views4 answers
Table
Python
0 vote123 views1 answer
List Comprehension iteration
Python
0 vote155 views1 answer
Check for prime in python
Python
0 vote155 views1 answer
Scipy solve equation numerically
Python
0 vote117 views1 answer
Keras backend matrix multiplication
Python
1 vote128 views1 answer
How to convert 24 hours to 12 hours in python
Python
0 vote128 views1 answer
Hover show all Y values in Bokeh
Python
0 vote148 views1 answer
Python coalesce
Python
0 vote121 views1 answer
Python set prcess name
Python