Which of the following are advantages of the Naïve Bayes method or classification?
A) developed very efficiently
B) developed effectively and accurately in a supervised machine learning environment
C) absent any underlying assumptions that may affect output
D) ability to quickly create models and outputs
Correct Answer:
Verified
Q11: Model ensembles tend to be more robust
Q12: The k-nearest neighbor algorithm is overly complex
Q13: The k-nearest neighbor algorithm appears well-suited to
Q14: Because of their complexity, it is more
Q15: Ensemble models can be quickly characterized based
Q17: Some of the benefits of the BN
Q18: Backpropagation requires the of vector pairs, with
Q19: Homogeneous-type ensembles combine the outcomes of:
A) two
Q20: Bagging can be used for:
A) classification-type prediction
Q21: The random forest (RF) model is a
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