@hinduja1234 wrote:
I am currently solving one classification problem using naive Bayes algorithm in python, I have built the model, but I want to how to calculate the model building and predicting the time of a model.
from sklearn.naive_bayes import GaussianNB from sklearn.metrics import accuracy_score import numpy as np clf = GaussianNB() # gaussian model clf.fit(features_train,labels_train) # model building ypred=clf.predict(features_test) #predicting on test data x=accuracy_score(labels_test, ypred) # accuracy of a model print(x)
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