Fast Food AnalysisFor the purposes of Questions 10 to 19, we are interested in trying to predict the number of calories in fastfood items, given otherinformation about their nutritional content. You will need to open Rstudio, and then write and run some code, in order to answer thesequestions. You should attach the .r file used to answer these questions to your submission. Whilst not directly used for assessment, it maybe used as evidence in the case of a marking dispute, as well as evidence of plagiarism should it be necessary.Before you start, you will need to install the openintro library viainstall.packages ("openintro")Then, load library openintro and look at the help file for fastfood.library ("openintro")?fastfoodPlease let me know (by email) sooner rather than later if you have technical issues installing the package and loading thedata.Now, we are going to be interested in a subset of this data. Start by generating a new dataframe ffood that you are to use throughoutthese questions as follows:fries <- fastfood [,-c (1, 2,4,7,17)]burger <- which ( rowSums ( is.na ( fries ) ) > 0 )ffood <- fries [-burger, ]sum ( is.na ( ffood ) ) Question 16Use 200 replications of data-splitting with 230 samples for training to compare the predictive performance of the following modelswith the remaining possible predictors for calories.- Best subset selection (BSS) with BIC (you may use the predict.regsubsets function introduced in the practical demonstrationby copying the code and pasting into your R script).- Ridge with min-CV lambda (use 5 or 10 folds).- PCR with min-CV number of principal components.Display the results in the form of boxplots. Using this plot, or otherwise, select which of the following options represents the medianCV predictive performance (in terms of test correlation) ranking from highest to lowest.At the start of your code for this question, it is recommended that you set the random seed to 3 usingset.seed (3)for reproducibility purposes.BSS, ridge, PCR(B) ridge, BSS, PCRC) PCR, ridge, BSSD PCR, BSS, ridgeE BSS, PCR, ridgeF) ridge, PCR, BSSQuestion 17Following on from Question 16, re-run your code (including setting the seed), this time storing the number of variables chosen foreach of the 200 replications of Best Subset Selection, and display the results in a histogram. How many predictors does a modelchosen by Best Subset Selection favour most frequently?Add your answerQuestion 18Following on from Questions 16 and 17, re-run your code (including setting the seed), this time storing the number of principalcomponents chosen for each of the 200 replications of PCR. What is the mean number of principal components chosen acrossthese 200 replications?Add your answer

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Fast Food Analysis For the purposes of Questions 10 to 19, we are interested in trying to predict the number of calories in fastfood items, given other information about their nutritional content. You will need to open Rstudio, and then write and run some code, in order to answer these questions. You should attach the .r file used to answer these questions to your submission. Whilst not directly used for assessment, it may be used as evidence in the case of a marking dispute, as well as evidence of plagiarism should it be necessary. Before you start, you will need to install the openintro library via install.packages ("openintro") Then, load library openintro and look at the help file for fastfood. library ("openintro") ?fastfood Please let me know (by email) sooner rather than later if you have technical issues installing the package and loading the

Fast Food Analysis For the purposes of Questions 10 to 19, we are interested in trying to predict the number of calories in fastfood items, given other information about their nutritional content. You will need to open Rstudio, and then write and run some code, in order to answer these questions. You should attach the .r file used to answer these questions to your submission. Whilst not directly used for assessment, it may be used as evidence in the case of a marking dispute, as well as evidence of plagiarism should it be necessary. Before you start, you will need to install the openintro library via install.packages ("openintro") Then, load library openintro and look at the help file for fastfood. library ("openintro") ?fastfood Please let me know (by email) sooner rather than later if you have technical issues installing the package and loading the

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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Computer Science Your task is to build an AJAX search form for this dataset that queries the City of Winnipeg Open Data API and displays search results below the form. Your form should include one or more inputs that correspond to fields within your selected JSON dataset. When the form is submitted you should use the form data to query the Open Data API. Your search should allow users to find a subset of records from a specific dataset. To do this you will be using the WHERE, ORDER and LIMIT capabilities of the Open Data API explained below. Your search form should return anywhere from 0 to a maximum of 100 results. If zero results are found, display a message letting the user know that nothing was found. Only HTML, CSS and Javascript should be used for this portion of the assignment. No PHP code should be used. (Your form will request JSON data from the open data API.)