Exercise 12: Suppose we would like to use scikit-learn to solve a multiple linear regression problem using ₁ regularization. Which of the following is a possible option to use? A) "sklearn.linear_model.Logistic Regression" class with default choices of param- eters B) "sklearn.linear_model.Logistic Regression" class by changing the default choice of "penalty" and "solver" parameters to "11" and "liblinear", respectively. C) "sklearn.linear_model.Lasso" class with default choices of parameters D) "sklearn.linear_model.Ridge" class with default choices of parameters

2. Team Class a. Variables i. Trainer -> String Gym - >String Members ->arrayList of type pokemon iv. ii. ii. saveFile ->a constant string that is the filename of "teamData.record" b. Methods i. Accessor and Mutator methods for all variables ii. setTeam - >sets all variables for a team ii. 2 Constructors addMember 1. Add a pokemon to the members arraylist 2. readlnput for such pokemon V. saveData 1. Writes all data from this class to the binary file saveFile vi. loadData 1. Loads data from saveFile 2. Set the team using the setTeam method vii. writeOutput 1. Prints all data for a team including printing all data for each pokemon in the members arraylist 2. Before printing pokemon data, ensure that you use Collections.sort(members) on the members arrayList. You can look up how this method works, but it should use the compareTo that we set up in the pokemon class and sort the pokemon into alphabetical order before printing.

Program Specifications Write a FancyCar class to support basic operations such as drive, add gas, honk horn and start engine. fancy_car.py is provided with function stubs. Follow each step to gradually complete all instance methods. Note: This program is designed for incremental development. Complete each step and submit for grading before starting the next step. Only a portion of tests pass after each step but confirm progress. The main program includes basic calls to the instance methods. Add statements in the main program as instance methods are completed to support development mode testing. **Step 0: Complete the constructor to initialize the model and miles per gallon (MPG) with the values of the parameters. Initialize the odometer to five miles and the tank to be full of gas. By default, the model is initialized to "Old Clunker", and MPG is initialized to 24.0. Note the provided constant variable indicates the gas tank capacity of 14.0 gallons. Step 1 Complete the instance…

e. Filter the vehicles that have mpg greater than 40 (inclusive) and acceleration greater than 11 (inclusive) f. Create a new dataset (variable) called ‘averages’ that groups by class and calculates means of msrp, acceleration and mpg g. Using ‘averages’ data, create the following 3 lineplots: mean msrp (y-axis) vs. class (x-axis), mean acceleration (y-axis) vs. class (x-axis) and mpg (y-axis) vs. class (x-axis)