choices = ["Rock", "Paper", "Scissors"]
    bestChoice = np.argmax(trainer.get_average_strategy())
    bestChoiceP = trainer.get_average_strategy()
    print("The best choice against your opponent is {0}: {1}".format(choices[bestChoice], bestChoiceP[bestChoice]))
    print("All choices are as follows:")
    for i in range(len(choices)):
        print("{0} - {1}".format(choices[i], bestChoiceP[i]))
    print("\nHere is the probability distribution of your opponent:")
    for i in range(len(choices)):
        print("{0} - {1}".format(choices[i], trainer.opp_strategy[i]))