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In decision trees, probabilities are listed on probability branches. These probabilities are___ events that have already been observed. marginal due to conditional on averaged with increased by

Ask by Ford Fowler. in the United States
Mar 10,2025

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The probabilities on the branches of a decision tree are **conditional on** the events that have already been observed.

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1. In decision trees, when evaluating the outcome at a branch, we use the data observed so far to estimate the probabilities. 2. These probabilities represent the likelihood of each class or outcome, given the specific conditions or attributes that have been observed. 3. Mathematically, these are expressed as conditional probabilities, for example: \[ P(\text{Class} \mid \text{Attribute}) = \frac{\text{Number of occurrences of the class with the given attribute}}{\text{Total occurrences of the given attribute}} \] 4. Therefore, the probabilities on the branches of a decision tree are computed based on events that have already been observed and are \(\textbf{conditional on}\) those events. The correct answer is: conditional on

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The probabilities listed on probability branches in decision trees are conditional on events that have already been observed. This means they represent the likelihood of an outcome occurring given the occurrence of a specific preceding event, allowing for a more informed decision-making process. For example, in a medical diagnosis scenario, the probability of a disease can be represented conditionally based on observed symptoms. This helps healthcare professionals weigh their options better by understanding how likely a diagnosis is, depending on the context of the observed data.

preguntas relacionadas

Question 12(Mulliple Choice Warth 5 points) \[ (04.06 \mathrm{HC}) \] A researcher wants to test the claim that the proportion of juniors who watch television regularly is greater than the proportion of seniors who watch television regularly She finds that 56 of 70 randomly selected juniors and 47 of 85 randomly selected seniors report watching television regularly. Construct \( 95 \% \) confidence intervals for each population proportion. Which of the statemente gives the correct outcome of the research or's tert of the dalim? The \( 95 \% \) confidence interval for juniors is (706, 894), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is (721, 879), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( 706,894 ), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( \( 721, .879 \) ), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors.

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