Exemple #1
0
print('\nDecsion Tree Results:')
dt = DecisionTree(features, feature_columns, target_variable)
dt.predict_test_set()
dt.predict_url(
    'https://www.reddit.com/r/Games/comments/dmgu22/sources_the_last_of_us_2_delayed_to_spring/'
)
dt.predict_url(
    'https://stackoverflow.com/questions/16729574/how-to-get-a-value-from-a-cell-of-a-dataframe'
)

print('\nRandom Forest Results:')
rf = RandomForest(features, feature_columns, target_variable)
rf.predict_test_set()
rf.predict_url(
    'https://www.reddit.com/r/Games/comments/dmgu22/sources_the_last_of_us_2_delayed_to_spring/'
)
rf.predict_url(
    'https://stackoverflow.com/questions/16729574/how-to-get-a-value-from-a-cell-of-a-dataframe'
)

print('\nNaive Bayes Results:')
nb = NaiveBayes(features, feature_columns, target_variable)
nb.predict_test_set()
nb.predict_url(
    'https://www.reddit.com/r/Games/comments/dmgu22/sources_the_last_of_us_2_delayed_to_spring/'
)
nb.predict_url(
    'https://stackoverflow.com/questions/16729574/how-to-get-a-value-from-a-cell-of-a-dataframe'
)