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 vote142 views1 answer
Detect gender from name
Python
3 votes150 views1 answer
Find common words in two lists python
Python
0 vote130 views2 answers
Call for a last number in series python
Python
0 vote123 views2 answers
I type nano in python and o get error
Python
1 vote121 views1 answer
Python assers
Python
0 vote160 views1 answer
Combine 3 jupyter cells together
Python
10 votes144 views2 answers
Prime number
Python
0 vote138 views1 answer
Gets an existing SparkSession or, if there is no existing one, creates a new one based on the options set in this builder
Python
2 votes198 views1 answer
Python project tutorial
Python
1 vote141 views1 answer
'charmap' codec can't decode byte 0x98 in position 11354: character maps to <undefined>
Python