C、C++、Java或Python
"""
# 程序入口
if __name__ == '__main__':
print('Hello world!')
# 读取数据
t = ldp.Titanic('titanic.dat')
# 通过最大信息增益,二值化源数据
t.binaryzation_with_threshold()
# b = ml.Bayes(t.data)
# # b.get_bayes_label()
# begin_time = time.time()
# ans = b.check()
# end_time = time.time()
# print("%lf, using: %lf" % (ans, end_time - begin_time))
# temp = []
# for i in range(10):
# b = ml.Bayes(t.data)
# ans = b.check()
# temp.append(ans)
# print(sum(temp)/len(temp))
b = ml.Bayes(t.data)
ans = b.check(show=True)
print('\n\n', ans)
pass
