Algorithm Discussion Bookmark this page 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= 10,1 = 0.2. main. py will compute 0 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 6 points possible (graded) In order to verify your plots, please enter the values of and @o for all three algorithms. (For example, if @= (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: @= Bo = For the average perceptron algorithm: @= 80 = For the Pegasos algorithm: = 00= Submit You have used 0 of 20 attempts Save