b. Consider the confusion matrices of two classifiers.Classifier1PREDICTED CLASSClassifier2PREDICTED CLASSClassClassClassClassACTUAL=Yes=NoACTUAL=Yes=NoCLASSCLASSClass=419Class=4010YesYesClass=6090Class=50100NoNoUsing the following cost of error matrix, identify which one is better.Cost MatrixPREDICTED CLASSClass=YesClass=NoACTUALClass=Yes -110CLASSClass=No1

There rae two confusion matrix are given We have to compare both the confusion matrix with the cost…

Answered: b. Consider the confusion matrices of…

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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Develop the Java program for the continuous evaluation (CE) mark-sheet portal as mentioned below: Weight of the class test is 30% , sessional is 40% and innovative assignment is 30 %. So total is 100. Minimum 40% of marks is mandatory to clear the CE component Data/attributes for portal: RollNo,CourseCode,ClassTestMark, SessionalMark, InnovativeAssignmentMark, Semester i.e. 19BCE999, 2CS302, 20, 10, 25, 3 The portal has following functionalities: Add mark functionality for each component  Delete and update mark functionality for each component Display mark functionality for each component RollNo-wise Scan semester from user and generate report for course-wise component-wise failure student list.  You have to use multi-dimesional array, inheritance and exception handing concepts compulsory. You may use other concepts of Object Oriented Programming if require
Consider the problem of trying to predict the acceptance status of an academic paper submitted to a given conference. We would like to use specific features to predict the acceptance status of a paper into one of the following categories [Accept, Weak Accept, Weak Reject, Reject, No Judgement]. We’ve decided to use a one-vs-one multi-class classification strategy: we train one classifier for each pair of classes. Later, we’re trying to predict the acceptance status of a new paper represented by sample xtest; we pass the sample into each of the models to obtain the value of hθ(xtest) for each model. The table below (on the top of the next page) summarizes the pair of classes recognized by each of the 10 models, as well as the predicted value hθ(xtest) obtained by each model on the input xtest: in this question is to use the information provided to determine which of the five classes xtest belongs to. Show your working clearly e.g. show how you compute the probability of each class and…
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A city operates a set of tram lines. There are a number of stops for each tram line. For each tram line exactly one stop is the origin of the tram line and exactly one stop is the destination of the tram line. A terminus of a tram line is a stop that is either origin or destination of the tram line. 1)Model the tram system we just described in Alloy. Add signature facts when needed. Express each of the following constraints by an Alloy predicate: No two tram lines have the same stops Every tram stop is served by at least one tram line No two tram lines share the same terminus. 2) Write the following three functions: A function that returns all the tram lines serving a given stop A function that returns for two stops the set of tram lines serving both stops A function that returns, for two given tram lines, the set of stops that are served by both tram lines Add the notion of route to the above model: a route is defined for a tram line and consists of the (ordered) sequence of stops…
Question # 2: Consider the following data Classification Model where YACT is your actual observation and YPRED is the model prediction value. You have to use the data and find CONFUSION MATRIX, and using confusion matrix compute the value of the following errors: Precision value of each class Recall value of each class F-measure value of each class Model Accuracy Model Precision value Model Recall value Model F-measure value YACT R G B B R G R R G G B B R R G B R B G R B G B R R B B G G G YPRED R R R B B B R R G B B R R G G G B B R R B G B R B G B G R R
VirtualClass: A Learning Management System for Online Education" system:A Brainstorm with your team to develop a set of Class responsibilities and collaboration “CRC cards” for all entity type classes. Add the CRC index cards to Appendix E of your SRS document under class diagrams. B Based on the responsibilities and collaborations identified in your CRC index cards update your first cut domain class diagram with the following: a. Class attribute descriptions and visibilities b. Signature methods with the respective parameters and visibilities Add the class diagram to Appendix E of your SRS document under class diagrams.
This is the problem Create a complete ERD in Crow’s Foot notation that can be implemented in therelational model using the following description of operations. Hot Water (HW) is asmall start-up company that sells spas. HW does not carry any stock. A few spas areset up in a simple warehouse so customers can see some of the models available, butany products sold must be ordered at the time of the sale.• HW can get spas from several different manufacturers.• Each manufacturer produces one or more different brands of spas.• Each and every brand is produced by only one manufacturer.• Every brand has one or more models.• Every model is produced as part of a brand. For example, Iguana Bay Spas is amanufacturer that produces Big Blue Iguana spas, a premium-level brand, andLazy Lizard spas, an entry-level brand. The Big Blue Iguana brand offers severalmodels, including the BBI-6, an 81-jet spa with two 6-hp motors, and the BBI-10,a 102-jet spa with three 6-hp motors.• Every manufacturer is…
In this section we create the model object and define the loss function and optimizer. For the loss function use nn.CrossEntropyLoss() instead of the mean-squared loss done in class. Use the same optimizer as in class. learning_rate = 0.001 num_epochs = 5 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") #this is to use gpu if available # **create your neural net model here, call the variable 'model'** # ** complete following lines of code to define loss function and optimizer #criterion = **complete this** #optimizer = **complete this**
1. Consider the following set of requirements and draw a Class Diagram for the following scenario that relates to a library. Make sure to show attributes, multiplicities and aggregations/compositions, where appropriate. A library lends different types of resources such as books, videos, and DVDs to its members. All library resources are identified by an id and a title. In addition, books have one or more authors, videos have one producer and one or more actors, while DVDs have one or more entertainers. The library maintains one or more copies of each library item that can be issued to users. Reference material is loaned for 2hrs and can’t be loaned for home. Other resources can be loaned for maximum 3 weeks. While lending these resources, the staff records the member details (name, address, email and phone number), the issue date and time, and the due date and time.
Manually train a decision tree based on the following dataset. a) Please show the detailed process of selecting an attribute to split the instance set at every node. Gini index should be used to measure the impurity b) Draw the final decision tree. c) Classify the test instance X= (Outlook = rainy, Temperature = hot, Humidity = high, Windy = FALSE)
While the classes are clearly ordered, we may rank some from biggest to smallest, making this categorization model equivalent to an objective measure. Depending on the stricter limit, the interval between the numbers may change. A structured variable is a data storage mechanism whose properties are defined by the labels or classes to which it has been allocated. The information that constitutes mathematics is that which is expressed not in words but in numbers. Because it prequalifies data before classifying it, primary analysis goes by that name occasionally.
Describe in pseudo code how arbitration (this function is located in theGoalThink class – a subclass of the CompositeGoal class) is done in the goal-drivenreasoning to choose a current plan. The answer should include some descriptionof the part of class diagram devoted to the purpose driven reasoning and constructionof a hierarchy of goals.

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