Naive Bayes 1

Front

What is the probability that the person picked will be a boy given they speak german?

Back

.7273

Front

P(Pizza|Senior):

Back

2/3

Front

A jar contains 4 white chips, 5 purple chips, and 1 black chip. What is P(white, then purple, then black)?

Back

1/36

Front

A jar contains 4 white chips, 5 purple chips, and 1 black chip. What is P(white, then purple, then black)?

Back

1/36

Front

What percentage of senior students like chocolate best?

Back

50%

Front

A box contains 7 yellow pencils and 3 black pencils. Michael randomly chooses a pencil and replaces it. Then he chooses a second pencil. What is the probability that both pencils are yellow?

Back

49.0%

Front

A box contains 7 yellow pencils and 3 black pencils. Michael randomly chooses a pencil and does not replace it. Then he chooses a second pencil. What is the probability that both pencils are black?

Back

6.7%

Front

Find P(employee earns over $30,000| High School Education). Round to the nearest thousandth.

Back

0.063

Front

Which of the following is the primary assumption of the Naive Bayesian Classifier?
Options:
All features are independent of each other.
All features are dependent on each other.
Features are dependent only on the class label.
Features are dependent on a subset of other features.

Back

All features are independent of each other.

Front

What is the main limitation of the Naive Bayesian Classifier?

Back

It assumes that all features are independent.