COMPUTER FUNDAMENTALS

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Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
BENEFITS OF USING DECISION TREES include:
A
Uses quantitative data only-ignores qualitative aspects of decisions
B
It is based on assumptions and estimates
C
Choices are set out in a logical way
D
Assignment of probabilities and expected values prone to bias
Explanation: 

Detailed explanation-1: -Choices are set out in a logical way. Potential options & choices are considered at the same time. Use of probabilities enables the “risk” of the options to be addressed. Likely costs are considered as well as potential benefits. Easy to understand & tangible results. 22-Mar-2021

Detailed explanation-2: -A decision tree is a non-parametric supervised learning algorithm, which is utilized for both classification and regression tasks. It has a hierarchical, tree structure, which consists of a root node, branches, internal nodes and leaf nodes.

Detailed explanation-3: -The biggest advantage of decision trees is that they make it very easy to interpret and visualize nonlinear data patterns. They also work very fast, especially for exploratory data analysis. If your dataset is small, decision trees deliver the high accuracy score.

Detailed explanation-4: -Simple to understand and to interpret. Requires little data preparation. The cost of using the tree (i.e., predicting data) is logarithmic in the number of data points used to train the tree. Able to handle both numerical and categorical data. Able to handle multi-output problems. More items

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