A) Compute the ROC curve for this classifier and report the coordinates of the curve. To this end, usethresholding to turn the predicted values into the 0/1 classes and for each threshold, compute confusionmatrices and the usual performance measures (FPR, TPR). The list of all these performance measuresgives the coordinates of the curve.B) Compute the area under the curve and write it here AUCof this classifier.Briefly comment on the performance Q2 ClassificationA logistic classifier was fitted to data, and six fresh observations were used to assess the performance of thisclassifier. Here are the fitted logistic probabilities and the observations (Y values).##Logistic predictions Fresh data values## [1,]0.900## [2,]0.270## [3,]0.370## [4,]0.571## [5,]0.931## [6,]0.200

1. **Threshold Selection**: We start with the given logistic probabilities and need to decide on…

Answered: A) Compute the ROC curve for this…

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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Class Diagram Medical Data Patient data + Id int Pk () Id int Pk Room Data + Medical History Varchar(40) Patient Id Varchar(30) First Name Varchar (30) Last Name Varchar (35) Date of Birth Date () Gender fk int (10) Emergency Con int (30) Medical int (30) Address Varchar (40) + Id int Pk () + Rooms_level varchar(20) +Rooms Varchar(20) Fuse + Doctor Varchar (40) + Assign Med History () + Assign Room Level () + Assign Record Room() + Store Doctors Room () + Assign Doctor 0 Use Store Patient Data () Gender Type Class Use Id # int Pk Gender_Name Varchar (10) Check ups Blood Class + Id int Pk () Visit Date int () Check up history () Assign type of Gender () + Id int Pk () + Blood type varchar (20) + Count Visit() + Count Check ups () + Assign Check up history() + Store type of Blood Emergency Contact Id int pk First Name Varchar(40) Last Name Varchar (40) Address Varchar (100) Gender int (10) Phone number (15) Parent type int (20) use Doctors + Id int Pk() + Doc Name varchar (40) Store…
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