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

See similar textbooks

Similar questions

I'm quite interested in learning the definition of "association class."
Assume that CSCourse class has been written, which has the below UML Diagram. You are giyen the CourseManager class and are asked to complete the main method. Write a body of the main method only that creates two objects of type CSCourse, so that: the first CSCourse is named "CS210% and has 32 students and an average GPA of 3.1 the second CSCourse is named "CS211" and has 31 students and an average GPA of 3.4 sum the students in two courses using the getNumStudents() method, and print the sum to the screen. C) cSCourse name : String -numStudents: int -averageGPA double +CSCourse(name String, numStu int) +getNumStudents() int +getName(): String +setAverageGPA(AVGPA: double) : void public class CourseManager{ public static void main(String[] args) [ / Your code goes here // Sample output is "Sum of students: 63".
please follow the intstructions really need help
This is an incomplete code. Where are the implementations for each method you mentioned in the comments? I need the implementation logic (code) for each method you mentioned in the comments. Please include the code implementation logic for each method instead of the comments.
I keep having an issue with the classifier, what can be done to fix it?
5 - Cubes Lets assume, that we have a 3D model composed from cubes in standard Euclidean space. In our model, we are using only positive integers. Each of these cubes is defined by its corner with the smallest x, y and z coordinates and by its size. Also each of these boxes have a color. In our case, while we are using only a text mode, it will be a character. You can assume, that the cubes in our model do not overlap, but there can be cubes placed above other cubes. In the code, it will be represented by following type Cube -- Point x y z data Point = Point Int Int Int data Cube = Cube {start::Point, size::Int, color::Char } Write a function view that takes a list of cubes ( [Cube] ) and returns a floor plang (a view from the top). The size of this floor plan will be computed based on the size of the boxes in the input. The result will be a list of strings. Use following function pp to print it on the screen. For the output format, see the sample output bellow. The bottom left corner…
Give an example of a class and an example of an object. Describe what a class is, what an object is, and how they are related. Use your examples to illustrate the descriptions. Your Discussion should be at least 250 words in length, but not more than 750 words. Once you’ve completed your initial post, be sure to respond to the posts of at least 3 of your classmates.
You will be using on RV related review comments to train a Sentence completion model. You could use the code below. The code is written in Jupyter notebook python. please follow the following instructions: 1. Build a working sentence completion model. Training data is provided in train.csv. This model should take partial sentences (e.g., "hey how ar," "hello, please") and provide completion for that sentence. Not every input needs to be completed into a correct sentence (e.g., "asdfauaef" does not need to have a sentence completion). For this model's purposes, a sentence is considered completed if an "end of sentence" character (like a full stop, question mark, etc.) occurs within the next five words OR. We predict up to 5 words from the input. 2. BONUS: If you use word vectors or other techniques from what we shared in class using character encoding and have a working model. 3. The test data (test.csv) will be used to evaluate the model. The test file contains partial sentences. Use…
Enter the lines of code that will evaluate a model built with tensorflow/keras. Use X_test and Y_test for this evaluation. Store the results in a variable called test_results. Assume all the libraries have been imported.
Some programmers look at the code and decide to create relationships between classes. Is this recommended? Justify your answer by considering an example that should be presented and discussed. Answer:
Give two examples of Transform and Conquer Approach.
Write short note on black box testing.