APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
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
|
|
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
|
|
None of the mentioned
|
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.