off value in the two-class classifier (i.e., C1/C2) is 0.5. Thus, if the probability of a record being a class C1 member is greater than 0.5, that record is classified as C1. It is possible to use a cutoff that is greater or lower than 0.5. In general, lowering the cutoff value will result in a decrease (no change) in the classification error rate for records that are truly C1. Note that is not an overall error rate. True

If initMass is 10.0, growthRate is 1.0 (100%), and yearsGrow is 3, what is finalMass? finalMass = initMass * pow(1.0 + growthRate, yearsGrow);

Let's revisit our first problem, where we want to set up a series of chess matches so we can rank six players in our class. As we did before, we will assume that everyone keeps their chess rating a private secret; however, when two players have a chess match, the person with the higher rating wins 100% of the time. But this time, we are only interested in identifying the BEST of these six players and the WORST of these six players. (We don't care about the relative ordering or ranking of the middle four players.) Your goal is to devise a comparison-based algorithm that is guaranteed to identify the player with the highest rating and the player with the lowest rating. Because you are very strong at Algorithm Design, you know how to do this in the most efficient way. Here are five statements. A. There exists an algorithm to solve this problem using 6 matches, but there does not exist an algorithm using only 5 matches. B. There exists an algorithm to solve this problem using 7 matches,…

can you make ER Diagram with Crow`s foot method about library system. The rule: 1. A member can borrow more than one book at a time 2. A member can have more than one phone number 3. A book can have more than one author 4. All book registration, member and borrowing processes can only be done/served by officers 5. Data for books, members and officers are stored with a unique id, so no id is the same.

Use the sacramento.csv file to complete the following assignment. Create a file, sacramento.py, that loads the .csv file and runs a logistic regression. The regression should predict whether or not a house has 1 or more than one bathroom based on beds, sqft, and price, in that order.You will need to create a new variable from baths, and it should make it such that those observations of 1 bath correspond to a value of 0, and those with more than 1 bath correspond to a 1. Make sure to add a constant using sm.add_constant(X) Your file should print the results in this way: print(mod.params.round(2)) print(mod.pvalues.round(2)) print('The smallest p-value is for sqft')

The consistency of a set of formulas can be defined as: Select one or more: a. There is at least one model for the set. b. There is at least one interpretation on which all the formulas are true. c. There is an interpretation yielding a truth value for all of the formulas in the set. d. There is an interpretation on which some of the formulas are true. e. All of the formulas can be false at the same time.

Given the following UML diagram: Student - studentID: String + getStudentID(): String + toString(): String Person - lastName: String - firstName: String - dateOfBirth: Date - address: Address + getName(): String + getDOB(): Date + getAddress(): Address + toString(): String Professor - employeeID: String +getEmployelD(): String +toString(): String Write an implementation for the class Professor. DO NOT include or implement any constructor for this class. There are no abstract methods/classes in this example. toString method will return any simple String that contains firstName and employeelD only; no less, no more!! Assume firstName was defined as protected in class Person. You are not allowed to add implementation for any class or methods other than what is listed in the question statement.

Use the sacramento.csv file to complete the following assignment. Create a file, sacramento.py, that loads the .csv file and runs a logistic regression. The regression should predict whether or not a house has 1 or more than one bathroom based on beds, sqft, and price, in that order.You will need to create a new variable from baths, and it should make it such that those observations of 1 bath correspond to a value of 0, and those with more than 1 bath correspond to a 1. Make sure to add a constant using sm.add_constant(X) Your file should print the results in this way: print(mod.params.round(2)) print(mod.pvalues.round(2)) print('The smallest p-value is for sqft') Please use sm.add_constant(X)! In Jupyter Notebook please! Please use the sys module!

3. Consider the following tables and then provide a pipe diagram for the requested output. ID Age ID Gender ID Name ID Friend_ID 15 3 M Bob 6. 3 31 F 6. Maria Sally George Maria 8 45 F 8 8 11 11 33 11 F 2 11 8 19 2 11 8 ... ... ... ... ... ... a. The average age of users b. The name of the user with the most friends. c. The pairs of user ID for those that follow one another (e.g., if 3 is a friend of 6 and 6 is a friend of 3 then (3, 6) would be listed as one of the pairs). d. The 10 most common names for users under the age of 20. 4. As discussed in class, what are some advantages of functional programming? 5. Explain how parallel programing can be accomplished using Streams and functional programming in Java 8. 6. What aspects of functional programming align well parallel programming?

How to solve this question using pythons code