Explain the decision tree. Illustrate the concept of a decision tree by taking a suitable example with 2 attributes (Al, A2),1 class attribute, and 5 data points. Calculate the
Q: I want ER diagram to be done for the below decision tree
A: ER DIAGRAM:
Q: Please make sure that the answer actually corresponds
A: class diagram is a diagram used in designing and modeling software to describe classes and their…
Q: Given the dataset of cars with their mileage and cost for cost prediction: Build a decision tree…
A: I have successfully built the decisiontree. See in the below steps. The reason we used decision tree…
Q: If a model is prescriptive, what makes it so?
A: Presentation: A descriptive model is used to illustrate how a system or other item interacts with…
Q: Please construct a decision tree for the following data set that is discussed in the class.…
A: Decision Tree Mining could be a style of data processing technique that's accustomed build…
Q: Analyze the diagram bellow and transform it from conceptual model to a logical model using the…
A: Logical model: it defines the relationship between the entities and data elements…
Q: Which attribute would be the root of the tree? Show the calculation of Information Gain(IG) in order…
A: Answer
Q: Attribute selection approaches in decision trees determine whether a nominal attribute is excellent…
A: Introduction TECHNIQUES FOR ATTRIBUTE SELECTION: The term "attribute selection technique" refers to…
Q: Decision Tree / We want to learn a function that returns (counts) the number of attributes with the…
A: The decision tree representing the above function and explanation of the above function are as…
Q: The study of computers and computer systems. What is the key distinction between classification…
A: You have posed many queries. Let's tackle each question individually. What distinguishes…
Q: 3. For a given data set, we applied the 0.632 bootstrapping validation and built a decision tree…
A: The overall error estimate for the model is 0.216, which is a weighted average of the training error…
Q: The purity of a nominal attribute's pertinent partitions in a decision tree determines the…
A: In computers, the term "attribute" refers to a specification that identifies a property of an…
Q: How can you recognize whether a model satisfies proportionality andadditivity?
A: An presumption is that a simplifying condition is taken into account in the research method such…
Q: Consider the previous statement. By looking at your objective tree, generate a list of…
A: List of specifications and a House of Quality (QFD) help refine objectives and connect them to…
Q: a. Discuss what will happen you decide to change the splitting criterion. Explain how you are…
A: As per bartleby policy I have to answer only one question but still I answered for both. Hope this…
Q: Using a clear picture, describe the iterative process of calibrating a model
A: Introduction: Iterative calibration comprises verifying the model against the real system,…
Q: In decision trees, attribute selection techniques decide the goodness of a nominal attribute based…
A: ATTRIBUTE SELECTION TECHNIQUES: Attribute selection technique refers to those ways which are used…
Q: In decision trees, attribute selection algorithms evaluate whether a nominal attribute is great or…
A: Introduction: The term "attribute selection technique" refers to approaches for picking a subset of…
Q: Develop a CART model using the test data set that utilizes the same target and predictor variables.…
A: Cart Model: Essentials of Decision Tree:- The decision tree method is a powerful and popular method…
Q: Demonstrate how test cases are generated using a decision table.
A: Test Case contains a set of actions executed to verify a particular feature or functionality of an…
Q: Given the dataset of cars with their mileage and cost for cost prediction: Build a decision tree…
A: Answer:- import pandas as pd import numpy as np df = np.array([['Toyota Corolla', '40',…
Q: For the following data set. Use Decision Tree classification to build the model to classify the test…
A: The decision tree classification to bulid the model to classify the test records is as follows.
Q: In the following, we will discuss the most important characteristics of descriptive models?
A: As the name proposes, descriptive models submit a representation or drawing of an existing system or…
Q: In Decision Trees, how do I find how many: • attributes • classes • instances Are in a dataset?…
A: It is a type of machine learning algorithm that are used for classification and regression.The…
Q: this is programming and this is R language Question 1 Build a decision tree classifier to classify…
A: R is a language and environment for statistical computing and graphics. It is a GNU project which is…
Q: I have a decision tree diagram. I need that to be converted to ER diagram Attached the picture below
A:
Q: Consider the decision trees shown in Figure 1. The decision tree in 1b is a pruned version of the…
A: The Answer is in below Steps
Q: In decision trees, the quality of the relevant partitions of data is used by attribute selection…
A: Dear Student, The required Algorithms are given below -
Q: Explain why decision trees are often called white-box models. Give some intuitive examples for…
A: A descision tree is a visualisation tool which helps in taking decisions for better outcomes, speedy…
Q: Search or create an example using K-means algorithm. Show each step of the K-means algorithm in your…
A:
Q: Select a real-life scenario that includes at least three sets of Venn diagrams. Describe why a Venn…
A: A real-world illustration illustrating the usage of a Venn diagram with at least three sets. A Venn…
Q: attribute at a node of the decision tree may happen if the attribute has many branches. true or…
A: Decision tree: The decision tree is the most powerful and extensively used tool for categorization…
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- Design an adjacency Matrix of the alphabets of your full name. In accordance with the following conditions: Let my name is Muhammad Adnan If your name has repeated characters (e.g. character E, 2 times) then you will consider only 1 time. If your Name contains both G and S, then there will be an edge between them and one additional edge from W to each if W is also in your name. If N is the alphabet in your name, it will have an edge to A and S if it available in your name. If P is available then it will have an edge with L if it is available. If there is a blank space in full Name then it will be represented by “_”, and it must have an edge with all alphabets. (Note: Place on in 1 for Edge and 0 for No Edge) Sketch an undirected graph of the above designed adjacency matrix.can you make ER Diagram with Crow`s foot method about library system. The rule: 1. A member can borrow more than one book at a time 2. A member can have more than one phone number 3. A book can have more than one author 4. All book registration, member and borrowing processes can only be done/served by officers 5. Data for books, members and officers are stored with a unique id, so no id is the same.Implement the following hierarchy of shop management system as shown below in (incomplete) UML diagram. Add attribute and functions by considering the requirements. The ShopManagement is a parent class, which saves and updates the entire record (person's and his mobile's information). Two classes Mobile and Person are associated with it. The Mobile class is Bublically inherited by Nokia, OPPO and QMobile. Whereas the person is categorized as salaried employee or Businessman. The given hierarchy depicts the above statement in graphical way. Important: We are interested in polymorphism relationship (see main for details). Consider the given main() and expected output, and write complete clear and clean code. Do not use string library for any purpose. Address Person ShopManagement Mobile StreetNo: int Name: char userlD: int model: char HouseNo: int year. int city: char BusinessMan SalariedEmployee annuallncome: double monthlyPay: double Nokia OPPO QMobile Display() Displayo Display()…
- Instructions: In the next exercise, you will use a known dataset used as an example for classification problems. Refer to: Index of /ml/machine-learning-databases/balance-scale (uci.edu). The problem has 3 classes and 4 input features. The possible classes are (B: balanced, L: left, R: right), and the 4 input features are: (LW: left weight, RW: right weight, LD: left distance, RD: Right distance). The balance shows up the value ‘B’ when LW + LD = RD + RW. Each raw of the file data is constructed as the following: Class, LW, LD, RW, RD. Example: B, 3, 2, 4, 1. In addition, all the input features might have values 1, ..., 5. For more information refer to website given before. Remark: you are free to propose a preprocessing of the input features, also you’re advised to try different values of the learning rate and observe the training curve. Remark: in your code, you are asked to use python, numpy and matplotlib. You shouldn’t use libraries like scikit, tensorflow, pytorch, or any other…web design Construct a Movie class in Model architecture. Subsequently, write a method called queryMovie() to query and return all movie records that are active from movie table belowWe wish to implement a system that allows the management of Employees and Students. As a first step. you need to implement the above UML diagrams Notes: . ZOOM . PERSON, EMPLOYEE and STUDENT should be public static constants The no-arg constructor will initialize ID, firstName and lastName to their respective null values. It will set personType to PERSON, and sortorder to LAST_NAME The overloaded constructor will assign each parameter to its respective field. sortorder will also be set to LAST_NAME toString() will output type, ID, firstName and lastName, all tab separated. This is an override method equals() will compare if the current object and the parameter contain the same values. This is an override method compareTo() compares the current object and the parameter. This is an override method. It will be used to sort objects Needs the Comparable interface O Will only compare fields depending on the sortorder. For example, if the sortorder is TYPE, it should then compare the…
- I have a 70000x785 dataset (70000 instances and 785 features) consisting of 10 different types of classes. I need to find a selection algorithm for finding the optimal training set size N as detailed in the question below. What is an example of a selection algorithm that can do this?Consider the following class diagram that models a company activities. A company is composed of many branches and each branch is located in a different city. Company's customers are subdivided into two categories: Regular and Privileged. Privileged customers are those that made at least 10 orders to the company. A customer can order items to the branch in his city, if any. The order will than be recorded by this branch. An order consists of a list of items. A discount of 5% will be applied for privileged customers. A discount of 10% will be applied if the order contains more than 8 items or if the total price of the order exceeds 100. Customer Order Item name: String name: String 0. date:Date /discount int name: String priceint 0. 0. canMakeOrder():Boolean isPrivileged() Boolean 0. 0. City Branch 0..1 name: String naner String Express the following constraints in OCL. 1. The number of items in an order does not exceed 15. 2. The number of items in an order does not exceed 10 for…Create a knowledge base using frames for the description of the domain given below. Arepresentation must contain at least one class frame and all types of relations available inframes. Roland Greenberg was born in Germany in 1973. He is a sociologist by his education and has 15scientific publications. Roland collects stamps. His collection consists of 36,000 stamps from 1910to 1960. The follwoing information is known about each stamp: year of issue, title, country,monetary value and special marks (if any). One of the stamps is a stamp issued in Germany in1942 "Make the planet free!". It costs 50,000 EUR, because the stamp of the German post is seton it. Another stamp is the "Classic Fashion" released in France in 1956. It costs 3000 EUR. Could you please solve problem given above? Thanks
- Please give me correct solution in 20 minutes.Follow the instructions from your instructor to accomplish the following in-class lab assignment. The Problem to Solve: The user needs a program to interact with employee records. The kinds of interactions are "Add an Employee" (Create record), "Show All Employees" (Read records), "View an Employee" (Read one record), "Update an Employee" (Update or change a record), and "Delete an Employee" (Delete a record). These interactions form the standard data processes in much of business software Create, Read, Update, and Delete, which are known by the acronym CRUD. The user needs to continue working with records until they are ready to tell the program. To do this, the program will present a menu of CRUD options and an option to Quit. The user will choose an option and the program will react accordingly. For this lab, the program will only print out which option the user chose. In later labs, we will add more functionality. Questions: What are the inputs needed to solve this…Let’s call the problem“Market Basket Optimization.” Our goal here is to generate a list of sets (product sets) and their corresponding level of relatedness or support to one another. Here’s a peek of the dataset to give you a better idea:shrimp,almonds,avocado,vegetables mix,green grapes,whole wheat flour,yams,cottagecheese,energy drink,tomato juice,low fat yogurt,green tea,honey,salad,mineralwater,salmon,antioxidant juice,frozen smoothie,spinach,olive oilburgers,meatballs,eggs chutney turkey,avocado mineral water,milk,energy bar,whole wheat rice,green tea low-fat yogurt whole-wheat pasta,french friessoup,light cream,shallot frozen vegetables,spaghetti,green tea french fries Those are listed according to the transactions where they appear. For example, in the first transaction, the customer bought different things (from shrimp to olive oil). In the second transaction, the customer bought burgers, meatballs, and eggs.