Algorithm Discussion Once you have completed the implementation of the 3 learning algorithms, you should qualitatively verify your implementations. In main.py we have included a block of code that you should uncomment. This code loads a 2D dataset from toy_data.txt, and trains your models using T = 10, A = 0.2. main.py will compute and for each of the learning algorithms that you have written. Then, it will call plot toy_data to plot the resulting model and boundary. Plots In order to verify your plots, please enter the values of 0 and 0 for all three algorithms. (For example, if 0 = (1,0.5), then type 1, 0.5 without the brackets. Make sure your answers are correct up to 4 decimal places.) For the perceptron algorithm: 8= For the average perceptron algorithm: 8 = 00 11 For the Pegasos algorithm: 0 = 00