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gaussian

Enthusiastic Elk answered on January 20, 2022 Popularity 10/10 Helpfulness 2/10

answer gaussian

gaussian

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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)

Popularity 10/10 Helpfulness 2/10 Language python

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