机器学习（西瓜书）3.7 ECOC 先这么理解着
其他方法手动计算海明距离 https://blog.****.net/icefire_tyh/article/details/52069025
| 1 | 1 | 1 | 1 | -1 | -1 | -1 | -1 | 1 | |
| 1 | 1 | -1 | -1 | 1 | 1 | -1 | -1 | 1 | 4 |
| 1 | 1 | 1 | 1 | -1 | -1 | -1 | -1 | 1 | |
| 1 | -1 | 1 | -1 | 1 | -1 | 1 | -1 | -1 | 5 |
| 1 | 1 | 1 | 1 | -1 | -1 | -1 | -1 | 1 | |
| -1 | -1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 9 |
| 1 | 1 | -1 | -1 | 1 | 1 | -1 | -1 | 1 | |
| 1 | -1 | 1 | -1 | 1 | -1 | 1 | -1 | -1 | 5 |
| 1 | 1 | -1 | -1 | 1 | 1 | -1 | -1 | 1 | |
| -1 | -1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 4 |
| 1 | -1 | 1 | -1 | 1 | -1 | 1 | -1 | -1 | |
| -1 | -1 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 5 |
我的方法海明距离的求和时36，该方法结果32.所以我这个算法更优秀
但是分类器全为正或者全为负是没有意义的，如图1所示时不全为相同的情况