COMPUTER FUNDAMENTALS

Detailed explanation-1: -A decision tree is a mathematical model used to help managers make decisions. A decision tree uses estimates and probabilities to calculate likely outcomes. A decision tree helps to decide whether the net gain from a decision is worthwhile.

Detailed explanation-2: -The rule for finding the probability of a particular event in a probability tree diagram occurring is to multiply the probabilities of the corresponding branches.

Detailed explanation-3: -Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features. A tree can be seen as a piecewise constant approximation.

Detailed explanation-4: -When you use your decision tree with an accompanying probability model, you can use it to calculate the conditional probability of an event, or the likelihood that it’ll happen, given that another event happens.

Detailed explanation-5: -Decision trees are models that represent the probability of various outcomes in comparison to alternatives.