Please construct a decision tree for the following data set that is discussed in the class. Attribute"Class Label" will be the label for the decision tree construction.Note: There are various trees according to different construction strategies that are applied. Tryto use the optimized methods to build your decision tree based on your understanding of theknowledge learned in the class. And if it's necessary, please add some statement to explain yourstrategy.You need to manually draw the tree structure and use ClassLabel as the labels for this dataset.SkinGivesBirthAquaticNameBodyAerialHasHibernates Class LabelCoverCreatureCreatureLegsHumanWBНairYNNYNMammalPythonScalesReptile FishCBNNNYSalmonСВScalesNYNFishWhaleWBНairYYMammalFrogCBNoneNSemiNYYAmphibianKomodoCBScalesNNNYReptileEelCBScalesYFishBatWBHairYNYYYMammalPigeonWBFeathersNNYYNBirdCatWBFurYNNYNMammalSharkCBScalesYYNFishTurtleCBScalesNSemiYReptilePenguinWBFeathersSemiNYBirdPorcupineWBQuillsYNNYYMammalSalamander CBNoneNSemiYYAmphibian

Decision Tree Mining could be a style of data processing technique that's accustomed build…

Please construct a decision tree for the following data set that is discussed in the class. Attribute "Class Label" will be the label for the decision tree construction. Note: There are various trees according to different construction strategies that are applied. Try to use the optimized methods to build your decision tree based on your understanding of the knowledge learned in the class. And if it's necessary, please add some statement to explain your strategy. You need to manually draw the tree structure and use ClassLabel as the labels for this dataset. Name Body Skin Gives Aquatic Aerial Has Hibernates Class Label Cover Birth Creature Creature Legs Human WB Hair Y N N Y N Mammal Python Scales Reptile Fish св N N N N Y Salmon CB Scales N Y N N Fish Whale WB Hair Y Y N N Mammal Frog CB None N Semi N Y Y Amphibian Komodo CB Scales N N Y N Reptile Eel CB Scales N Y N Fish Bat WB Hair Y N Y Y Y Mammal Pigeon WB Feathers N N Y Y N Bird Cat WB Fur Y N Y N Mammal Shark св Scales Y Y N N N Fish Turtle св Scales N Semi Y Reptile Penguin WB Feathers N Semi N Y Bird Porcupine WB Quills Y N Y Y Mammal Salamander CB None N Semi N Y Y Amphibian

Please construct a decision tree for the following data set that is discussed in the class. Attribute "Class Label" will be the label for the decision tree construction. Note: There are various trees according to different construction strategies that are applied. Try to use the optimized methods to build your decision tree based on your understanding of the knowledge learned in the class. And if it's necessary, please add some statement to explain your strategy. You need to manually draw the tree structure and use ClassLabel as the labels for this dataset. Name Body Skin Gives Aquatic Aerial Has Hibernates Class Label Cover Birth Creature Creature Legs Human WB Hair Y N N Y N Mammal Python Scales Reptile Fish св N N N N Y Salmon CB Scales N Y N N Fish Whale WB Hair Y Y N N Mammal Frog CB None N Semi N Y Y Amphibian Komodo CB Scales N N Y N Reptile Eel CB Scales N Y N Fish Bat WB Hair Y N Y Y Y Mammal Pigeon WB Feathers N N Y Y N Bird Cat WB Fur Y N Y N Mammal Shark св Scales Y Y N N N Fish Turtle св Scales N Semi Y Reptile Penguin WB Feathers N Semi N Y Bird Porcupine WB Quills Y N Y Y Mammal Salamander CB None N Semi N Y Y Amphibian

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Heuristic System

The term heuristic is derived from the Greek word heurisko, which means “I find, discover”. Heuristics can be mental shortcuts or approaches designed from previous experiences. The main aim of the heuristic approach is to find a good enough solution to solve the problem. Test and mistake, rule of thumb, or an educated estimate are all examples of heuristics. These methods are sufficient for achieving an immediate, brief aim. When a heuristic is used in practice, it works as predicted. It can, however, produce systematic errors. Trial and error is an important heuristic that may be used in a variety of situations, from cross-linking nuts and bolts to determining the values of given input variables in mathematical puzzles. Additional hypotheses, visual illustrations, simplification, and forward or backward reasoning are all common heuristics in mathematics.

Question

Please construct a decision tree for the following data set that is discussed in the class. Attribute
"Class Label" will be the label for the decision tree construction.
Note: There are various trees according to different construction strategies that are applied. Try
to use the optimized methods to build your decision tree based on your understanding of the
knowledge learned in the class. And if it's necessary, please add some statement to explain your
strategy.
You need to manually draw the tree structure and use ClassLabel as the labels for this dataset.
Skin
Gives
Birth
Aquatic
Name
Body
Aerial
Has
Hibernates Class Label
Cover
Creature
Creature
Legs
Human
WB
Нair
Y
N
N
Y
N
Mammal
Python
Scales
Reptile Fish
CB
N
N
N
Y
Salmon
СВ
Scales
N
Y
N
Fish
Whale
WB
Нair
Y
Y
Mammal
Frog
CB
None
N
Semi
N
Y
Y
Amphibian
Komodo
CB
Scales
N
N
N
Y
Reptile
Eel
CB
Scales
Y
Fish
Bat
WB
Hair
Y
N
Y
Y
Y
Mammal
Pigeon
WB
Feathers
N
N
Y
Y
N
Bird
Cat
WB
Fur
Y
N
N
Y
N
Mammal
Shark
CB
Scales
Y
Y
N
Fish
Turtle
CB
Scales
N
Semi
Y
Reptile
Penguin
WB
Feathers
Semi
N
Y
Bird
Porcupine
WB
Quills
Y
N
N
Y
Y
Mammal
Salamander CB
None
N
Semi
Y
Y
Amphibian

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