The Ghana health service requested for a machine learning model to detect the presence ofa new disease based on symptoms present in a blood sample. You have been selected to bepart of the team responsible for the development of the model. Belo is a block diagram ofthe system.InputsProcessingOutputThe accuracy in the output depends on the correct inputs. The model designed is supposedto be evaluated to determine the accuracy and it is supposed to function in a supervisedway. Hence the data sets can affect the model and vice versa.GivenP(Data|Model) = P(Model|Data)P(Data)or P(D|M) =P(M|D)P(D)show that theP(Model)p(M)following statements are true with a formal mathematical proof.Show thata. P(D|M) = P(M|D)IP(D|M')(1-P(M))+(1-P(D|M)P(M))]1-p(M")b. P(D) = P(D|M')(1– P(M)) + (1– P(D'/M)P(M))Question 2 (50 marks) 300-500 words per discussion and avoid plagiarism.From the question 1, given P(D|M) = P(MD)P(D) solve the followinga. Draw the probability tree for the situation.p(M)b. Draw the reverse tree for the situation.c. Discuss the False Positive from the main treed. Discuss the True positive from the main treee. Discuss the False negative from the main treef. Discuss the True negative from the main tree.Discuss the False Positive from the main reverse tree

Answered: Image /qna-images/answer/a4d0da97-e499-4eb0-900c-cecfd7f37e96.jpg

Answered: = P(M|D)[P(D\M')(1¬P(M))+(1=P(D|M)P(M)|…

Math

Algebra

College Algebra (MindTap Course List)

12th Edition

ISBN:9781305652231

Author:R. David Gustafson, Jeff Hughes

Publisher:R. David Gustafson, Jeff Hughes

Chapter6: Linear Systems

Section6.2: Guassian Elimination And Matrix Methods

Problem 84E: Explain the differences between Gaussian elimination and Gauss-Jordan elimination.

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Explain the differences between Gaussian elimination and Gauss-Jordan elimination.
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The Ghana health service requested for a machine learning model to detect the presence of a new disease based on symptoms present in a blood sample. You have been selected to be part of the team responsible for the development of the model. Belo is a block diagram of the system. Inputs Processing Output The accuracy in the output depends on the correct inputs. The model designed is supposed to be evaluated to determine the accuracy and it is supposed to function in a supervised way. Hence the data sets can affect the model and vice versa. Given P(Data|Model) = P(Model|Data)P(Data) or P(D|M) P(M|D)P(D) show that the p(Model) p(M) following statements are true with a formal mathematical proof. Show that P(M|D)[P(D|M')(1-P(M))+(1-P(D|M)P(M))] а. Р(DIM) 1-р(М) b. Р(D) — P(D|M')(1 — Р(M)) + (1— Р(D'/M)Р(М) )
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I want to explain these outputs ?