. Write down the factorization of P(D, I, G, S, L) based on the Bayesian network.
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a. Write down the factorization of P(D, I, G, S, L) based on the Bayesian network.
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- A matchmaking game between 5 couples is being made in a TV show. Based on interviews from each participant, you were able to develop the "happiness" matrix for the possible pairings. Determine the pairings that will create the maximum total happiness for all participants. Liza 4 8 5 Marie Rina 5 9 Paolo Joseph 6 Brian 5 10 Tony 0 1 Chris 9 5 10 0 6 Anna Belle 7 6 4 7 6 0 7 2 0 8Question 2: Suppose you have the following scenario: People who use the Palm Tree System are either farmers or experts. They both have name and phone number. The farmer has an address and has the ability to search and buy a product, reserve an appointment and add comments. An expert has a number of years of experience and can answer questions and post advices. An Expert can communicate with many farmers while a farmer can communicated by only one expert. By using Star UML tool, draw a Class diagram for this scenario.: Employee Graph = (V,E) V(EmployeeGraph) = { Susan, Darlene, Mike, Fred, John, Sander, Lance, Jean, Brent, Fran} E(EmployeeGraph) = {(Susan, Darlene), (Fred, Brent), (Sander, Susan),(Lance, Fran), (Sander, Fran), (Fran, John), (Lance, Jean), (Jean, Susan), (Mike, Darlene)} Draw the picture of the Employee Graph.
- Question 2: Suppose you have the following scenario: People who use the Palm Tree System are either farmers or experts. They both have name and phone number. The farmer has an address and has the ability to search and buy a product, reserve an appointment and add comments. An expert has a number of years of experience and can answer questions and post advices. An Expert can communicate with many farmers while a farmer can communicated by only one expert. By using Star UML tool, draw a Class diagram for this scenario.*Notes: Look at the illustration below to answer question: During the model training using a neural network, the performance log obtained resembles the illustration above. The conclusions that can be drawn based on the log performance plot are: a) Model indicated Underfitting b) Model indicated Overfitting c) The model is stuck in local optima d) The model is stuck in global optimaQ3/A/ Check the system: Properties Linear or non-Linear System Causal or non-Causal Y(t) = X(t-1) + X(t+1) Y(t) = X(2 +4t+ a) Stable or unstable
- You are developing a simulation model of a service system and are trying to create an input model of the customer arrival Process, You have the following four observations of the process of interest [86, 24,9, 50] and you are considering either an exponential distribution Of a uniform distribution for the model. Using the data to estimate any necessary distribution Parameters, write the steps to plot Q-Q plots for both cases i.e. exponential and uniform.Medical records show a sample population of 1000 people, of those 1000 people, 98% do not have a terminal illness and 2% do have a terminal illness. A Health Insurance company would like try out a new cheaper test for terminal illness. Their results show that 98% of the people that do have a terminal illness test positive, while 1% of the people who do not have a terminal illness test positive for one. A corporation known as Ken’s Kids is concerned about patients that are slipping through the cracks with this new medical testing. If the new medical testing is adopted, what % of the people will be misdiagnosed as not having a terminal illness, but really have one? Assuming a population of 200 million people, how many people that have a terminal illness, given this new testing will never know that they do? (Please show all work , and have a legend for symbols).Draw an ER model based on following scenario.A travel agency has different bus stations at different location. Each station has a unique name, locationand buses. Each bus has a unique bus number, color and type. The bus takes routes between stations.Each route has a name, arrival time and departure time. A single bus can take routes to different stations.Some buses may not take any route in some days however a station must have a route each day. Eachbus contains seats. Each seat has unique number, row and seat type. There are three different types ofseats as first class, standard and economy. Passengers can make reservations. Passenger has id number,full name, age, gender and address. Each reservation will have a unique reservation number, fare, dateand time. Each reservation can have any numbers of seats. The reservation is dependent on passenger.
- For the following confusion matrix, what is the weighted accuracy if the weight for the Cat class is 0.2, for the Dog class it is 0.5, and for the Perico class it is 0.3? Cat Parakeet Dog (Predicted) (Predicted) (Predicted) Cat (Real) 14 Dog (Real) 18 2 Parakeet (Real) 13 7 20 2.Given a graph of friends who have different interests, determine which groups of friends have the most interests in common. Then Explanation 0 Node pair (2,4) shares only 1 interest (4) and node pair (1,3) shares 1 interest (3). v Input Format for Custom Testing use a little math to determine a value to return. • Node pair (1,2) shares 2 interests (interests 2 and 3) and node pair (2, 3) shares also 2 interests (interest 1 and 3). So, the maximum Each pair of friends_nodes = 4 friends is connected by the following interests: Input from stdin will be processed as follows and passed to the function. The graph will be represented as a series of nodes numbered consecutively from 1 to friends_nodes. Friendships have evolved based on interests which will be represented as weights in the graph. Any members who share the same interest are said to be connected by that interest. Once the node pairs with the maximum number of shared interests are determined, multiply the friends_nodes of the…Sum of Squared Errors: Remember from your statistics courses that if two random variables X and Y are related by a relation YaX+b and you had a set of observations {(1, 1), (2, 2)..... (z.)). then for every estimated values of a and b, the Sum of Squared Errors (SSE) was defined as in the following formula. SSE(-ar-b)². 1-1 The less SSE, the better a and b are estimated. Consider the following fixed list. In this list each sub-list of length two is standing for one pair (z.). Write a function that recieves two numbers a and b and returns the associated SSE. L- [[1, 2], [1.1, 2], [2, 7.1), (2.5, 7.21, (3, 11]]