MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

MACHINE LEARNINGHARD QUESTIONS

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What is Decision Tree?
A
Flow-Chart
B
Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label
C
Flow-Chart & Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label
D
None of the mentioned
Explanation: 

Detailed explanation-1: -A decision tree is a type of flowchart you can use to visualize a decision-making process. Decision trees help you map out different courses of action and their potential outcomes.

Detailed explanation-2: -A decision tree is a flowchart-like structure in which each internal node represents a “test” on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes).

Detailed explanation-3: -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.

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