DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #29
Marie is getting married tomorrow, at an outdoor ceremony in the desert. In recent years, it has rained only 5 days each year. Unfortunately, the weatherman has predicted rain for tomorrow. When it…
The correct answer is A. Naive Bayes. The sample space is defined by two mutually-exclusive events - it rains or it does not rain. Additionally, a third event occurs when the weatherman predicts rain. You should consider Bayes' theorem when the following conditions exist. - The sample space is partitioned into a…
Question
Marie is getting married tomorrow, at an outdoor ceremony in the desert. In recent years, it has rained only 5 days each year. Unfortunately, the weatherman has predicted rain for tomorrow. When it actually rains, the weatherman correctly forecasts rain 90% of the time. When it doesn't rain, he incorrectly forecasts rain 10% of the time. Which of the following will you use to calculate the probability whether it will rain on the day of Marie's wedding?
Options
- ANaive Bayes
- BLogistic Regression
- CRandom Decision Forests
- DAll of the above
How the community answered
(35 responses)- A80% (28)
- B3% (1)
- C11% (4)
- D6% (2)
Explanation
The sample space is defined by two mutually-exclusive events - it rains or it does not rain. Additionally, a third event occurs when the weatherman predicts rain. You should consider Bayes' theorem when the following conditions exist. - The sample space is partitioned into a set of mutually exclusive events {A1, A2,... :An}. - Within the sample space, there exists an event B: for which P(B)>; 0. - The analytical goal is to compute a conditional probability of the form: P( Ak B).
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