plt ylabel('training error'plt title('training error progress'plt grid(plt show(nowuse the test data-points in above classifierprint('\ntest results:'data_test [[ ][ ][ ],[ ]for item in data_testprint(item'-->'neural_net sim([item])[ ]you can find the test results as shown here[ --[ [ --[ [ --[ [ --[