课程：《生物数据处理》 课程老师：邓阳君老师
请采用朴素贝叶斯分类器或决策分类树算法对iris数据进行分类处理，并分析其分类效果。实验报告应包括算法理论知识、算法代码、仿真实验结果及其分析等内容，请于5月31日前提交实验报告。
一、算法理论知识
朴素贝叶斯（Naive Bayes）
朴素贝叶斯模型是一组非常简单快速的分类算法，通常适用于维度非常高的数据集。因为运行速度快，而且可调参数少，因此非常适合为分类问题提供快速粗糙的基本方案。
朴素贝叶斯分类器建立在贝叶斯分类方法的基础上，其数学基础是贝叶斯定理（Bayes’s theorem）——一个描述统计量条件概率关系的公式。 在贝叶斯分类中，我们希望确定一个具有某些特征的样本属于某类标签L的概率，通常记为 P (L |特征 )
二、算法代码
三、仿真实验结果及其分析
预测标签和预测结果有很多不吻合的，结果只有0.5666666，预测结果十分不理想。
--分析原因--
鸢尾花数据集一共只有150个，训练集相对来说是远远不够的，数据太少导致拟合效果不足（欠拟合）。下面增加按倍数增加鸢尾花数据集，使得数据集按相同特征产生足够大的数据集，我这里从1倍逐步扩大到10倍（也就是从150个数据集逐步增加到1500个数据集），然后画出它的准确率曲线。对源代码增加一个For 循环即可：
准确率变化图像如上右，发现随着数据集增加，模型预测准确率不断增加，当数据集增加到6倍左右，准确率变为百分之百。对于机器学习中的模型，只有在大量样本的训练条件下才能作出很好的预测。
C:\Programs\Python\Python310\python.exe E:/works/PythonCharmPre/ClassificationAnalysis/naivebayes.py
-- 0 --X--
[[5.1 3.5 1.4 0.2]
[4.9 3. 1.4 0.2]
[4.7 3.2 1.3 0.2]
[4.6 3.1 1.5 0.2]
[5. 3.6 1.4 0.2]
[5.4 3.9 1.7 0.4]
[4.6 3.4 1.4 0.3]
[5. 3.4 1.5 0.2]
[4.4 2.9 1.4 0.2]
[4.9 3.1 1.5 0.1]
[5.4 3.7 1.5 0.2]
[4.8 3.4 1.6 0.2]
[4.8 3. 1.4 0.1]
[4.3 3. 1.1 0.1]
[5.8 4. 1.2 0.2]
[5.7 4.4 1.5 0.4]
[5.4 3.9 1.3 0.4]
[5.1 3.5 1.4 0.3]
[5.7 3.8 1.7 0.3]
[5.1 3.8 1.5 0.3]
[5.4 3.4 1.7 0.2]
[5.1 3.7 1.5 0.4]
[4.6 3.6 1. 0.2]
[5.1 3.3 1.7 0.5]
[4.8 3.4 1.9 0.2]
[5. 3. 1.6 0.2]
[5. 3.4 1.6 0.4]
[5.2 3.5 1.5 0.2]
[5.2 3.4 1.4 0.2]
[4.7 3.2 1.6 0.2]
[4.8 3.1 1.6 0.2]
[5.4 3.4 1.5 0.4]
[5.2 4.1 1.5 0.1]
[5.5 4.2 1.4 0.2]
[4.9 3.1 1.5 0.2]
[5. 3.2 1.2 0.2]
[5.5 3.5 1.3 0.2]
[4.9 3.6 1.4 0.1]
[4.4 3. 1.3 0.2]
[5.1 3.4 1.5 0.2]
[5. 3.5 1.3 0.3]
[4.5 2.3 1.3 0.3]
[4.4 3.2 1.3 0.2]
[5. 3.5 1.6 0.6]
[5.1 3.8 1.9 0.4]
[4.8 3. 1.4 0.3]
[5.1 3.8 1.6 0.2]
[4.6 3.2 1.4 0.2]
[5.3 3.7 1.5 0.2]
[5. 3.3 1.4 0.2]
[7. 3.2 4.7 1.4]
[6.4 3.2 4.5 1.5]
[6.9 3.1 4.9 1.5]
[5.5 2.3 4. 1.3]
[6.5 2.8 4.6 1.5]
[5.7 2.8 4.5 1.3]
[6.3 3.3 4.7 1.6]
[4.9 2.4 3.3 1. ]
[6.6 2.9 4.6 1.3]
[5.2 2.7 3.9 1.4]
[5. 2. 3.5 1. ]
[5.9 3. 4.2 1.5]
[6. 2.2 4. 1. ]
[6.1 2.9 4.7 1.4]
[5.6 2.9 3.6 1.3]
[6.7 3.1 4.4 1.4]
[5.6 3. 4.5 1.5]
[5.8 2.7 4.1 1. ]
[6.2 2.2 4.5 1.5]
[5.6 2.5 3.9 1.1]
[5.9 3.2 4.8 1.8]
[6.1 2.8 4. 1.3]
[6.3 2.5 4.9 1.5]
[6.1 2.8 4.7 1.2]
[6.4 2.9 4.3 1.3]
[6.6 3. 4.4 1.4]
[6.8 2.8 4.8 1.4]
[6.7 3. 5. 1.7]
[6. 2.9 4.5 1.5]
[5.7 2.6 3.5 1. ]
[5.5 2.4 3.8 1.1]
[5.5 2.4 3.7 1. ]
[5.8 2.7 3.9 1.2]
[6. 2.7 5.1 1.6]
[5.4 3. 4.5 1.5]
[6. 3.4 4.5 1.6]
[6.7 3.1 4.7 1.5]
[6.3 2.3 4.4 1.3]
[5.6 3. 4.1 1.3]
[5.5 2.5 4. 1.3]
[5.5 2.6 4.4 1.2]
[6.1 3. 4.6 1.4]
[5.8 2.6 4. 1.2]
[5. 2.3 3.3 1. ]
[5.6 2.7 4.2 1.3]
[5.7 3. 4.2 1.2]
[5.7 2.9 4.2 1.3]
[6.2 2.9 4.3 1.3]
[5.1 2.5 3. 1.1]
[5.7 2.8 4.1 1.3]
[6.3 3.3 6. 2.5]
[5.8 2.7 5.1 1.9]
[7.1 3. 5.9 2.1]
[6.3 2.9 5.6 1.8]
[6.5 3. 5.8 2.2]
[7.6 3. 6.6 2.1]
[4.9 2.5 4.5 1.7]
[7.3 2.9 6.3 1.8]
[6.7 2.5 5.8 1.8]
[7.2 3.6 6.1 2.5]
[6.5 3.2 5.1 2. ]
[6.4 2.7 5.3 1.9]
[6.8 3. 5.5 2.1]
[5.7 2.5 5. 2. ]
[5.8 2.8 5.1 2.4]
[6.4 3.2 5.3 2.3]
[6.5 3. 5.5 1.8]
[7.7 3.8 6.7 2.2]
[7.7 2.6 6.9 2.3]
[6. 2.2 5. 1.5]
[6.9 3.2 5.7 2.3]
[5.6 2.8 4.9 2. ]
[7.7 2.8 6.7 2. ]
[6.3 2.7 4.9 1.8]
[6.7 3.3 5.7 2.1]
[7.2 3.2 6. 1.8]
[6.2 2.8 4.8 1.8]
[6.1 3. 4.9 1.8]
[6.4 2.8 5.6 2.1]
[7.2 3. 5.8 1.6]
[7.4 2.8 6.1 1.9]
[7.9 3.8 6.4 2. ]
[6.4 2.8 5.6 2.2]
[6.3 2.8 5.1 1.5]
[6.1 2.6 5.6 1.4]
[7.7 3. 6.1 2.3]
[6.3 3.4 5.6 2.4]
[6.4 3.1 5.5 1.8]
[6. 3. 4.8 1.8]
[6.9 3.1 5.4 2.1]
[6.7 3.1 5.6 2.4]
[6.9 3.1 5.1 2.3]
[5.8 2.7 5.1 1.9]
[6.8 3.2 5.9 2.3]
[6.7 3.3 5.7 2.5]
[6.7 3. 5.2 2.3]
[6.3 2.5 5. 1.9]
[6.5 3. 5.2 2. ]
[6.2 3.4 5.4 2.3]
[5.9 3. 5.1 1.8]]
-- 0 --Y--
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2]
--预测集标签--
[2 1 0 2 0 2 0 1 1 1 2 1 1 1 1 0 1 1 0 0 2 1 0 0 2 0 0 1 1 0]
--预测结果--
[2 2 0 2 0 2 0 2 2 2 2 2 2 2 2 0 2 2 0 0 2 2 0 0 2 0 0 2 2 0]
-- 1 --X--
[[10.2 7. 2.8 0.4]
[ 9.8 6. 2.8 0.4]
[ 9.4 6.4 2.6 0.4]
[ 9.2 6.2 3. 0.4]
[10. 7.2 2.8 0.4]
[10.8 7.8 3.4 0.8]
[ 9.2 6.8 2.8 0.6]
[10. 6.8 3. 0.4]
[ 8.8 5.8 2.8 0.4]
[ 9.8 6.2 3. 0.2]
[10.8 7.4 3. 0.4]
[ 9.6 6.8 3.2 0.4]
[ 9.6 6. 2.8 0.2]
[ 8.6 6. 2.2 0.2]
[11.6 8. 2.4 0.4]
[11.4 8.8 3. 0.8]
[10.8 7.8 2.6 0.8]
[10.2 7. 2.8 0.6]
[11.4 7.6 3.4 0.6]
[10.2 7.6 3. 0.6]
[10.8 6.8 3.4 0.4]
[10.2 7.4 3. 0.8]
[ 9.2 7.2 2. 0.4]
[10.2 6.6 3.4 1. ]
[ 9.6 6.8 3.8 0.4]
[10. 6. 3.2 0.4]
[10. 6.8 3.2 0.8]
[10.4 7. 3. 0.4]
[10.4 6.8 2.8 0.4]
[ 9.4 6.4 3.2 0.4]
[ 9.6 6.2 3.2 0.4]
[10.8 6.8 3. 0.8]
[10.4 8.2 3. 0.2]
[11. 8.4 2.8 0.4]
[ 9.8 6.2 3. 0.4]
[10. 6.4 2.4 0.4]
[11. 7. 2.6 0.4]
[ 9.8 7.2 2.8 0.2]
[ 8.8 6. 2.6 0.4]
[10.2 6.8 3. 0.4]
[10. 7. 2.6 0.6]
[ 9. 4.6 2.6 0.6]
[ 8.8 6.4 2.6 0.4]
[10. 7. 3.2 1.2]
[10.2 7.6 3.8 0.8]
[ 9.6 6. 2.8 0.6]
[10.2 7.6 3.2 0.4]
[ 9.2 6.4 2.8 0.4]
[10.6 7.4 3. 0.4]
[10. 6.6 2.8 0.4]
[14. 6.4 9.4 2.8]
[12.8 6.4 9. 3. ]
[13.8 6.2 9.8 3. ]
[11. 4.6 8. 2.6]
[13. 5.6 9.2 3. ]
[11.4 5.6 9. 2.6]
[12.6 6.6 9.4 3.2]
[ 9.8 4.8 6.6 2. ]
[13.2 5.8 9.2 2.6]
[10.4 5.4 7.8 2.8]
[10. 4. 7. 2. ]
[11.8 6. 8.4 3. ]
[12. 4.4 8. 2. ]
[12.2 5.8 9.4 2.8]
[11.2 5.8 7.2 2.6]
[13.4 6.2 8.8 2.8]
[11.2 6. 9. 3. ]
[11.6 5.4 8.2 2. ]
[12.4 4.4 9. 3. ]
[11.2 5. 7.8 2.2]
[11.8 6.4 9.6 3.6]
[12.2 5.6 8. 2.6]
[12.6 5. 9.8 3. ]
[12.2 5.6 9.4 2.4]
[12.8 5.8 8.6 2.6]
[13.2 6. 8.8 2.8]
[13.6 5.6 9.6 2.8]
[13.4 6. 10. 3.4]
[12. 5.8 9. 3. ]
[11.4 5.2 7. 2. ]
[11. 4.8 7.6 2.2]
[11. 4.8 7.4 2. ]
[11.6 5.4 7.8 2.4]
[12. 5.4 10.2 3.2]
[10.8 6. 9. 3. ]
[12. 6.8 9. 3.2]
[13.4 6.2 9.4 3. ]
[12.6 4.6 8.8 2.6]
[11.2 6. 8.2 2.6]
[11. 5. 8. 2.6]
[11. 5.2 8.8 2.4]
[12.2 6. 9.2 2.8]
[11.6 5.2 8. 2.4]
[10. 4.6 6.6 2. ]
[11.2 5.4 8.4 2.6]
[11.4 6. 8.4 2.4]
[11.4 5.8 8.4 2.6]
[12.4 5.8 8.6 2.6]
[10.2 5. 6. 2.2]
[11.4 5.6 8.2 2.6]
[12.6 6.6 12. 5. ]
[11.6 5.4 10.2 3.8]
[14.2 6. 11.8 4.2]
[12.6 5.8 11.2 3.6]
[13. 6. 11.6 4.4]
[15.2 6. 13.2 4.2]
[ 9.8 5. 9. 3.4]
[14.6 5.8 12.6 3.6]
[13.4 5. 11.6 3.6]
[14.4 7.2 12.2 5. ]
[13. 6.4 10.2 4. ]
[12.8 5.4 10.6 3.8]
[13.6 6. 11. 4.2]
[11.4 5. 10. 4. ]
[11.6 5.6 10.2 4.8]
[12.8 6.4 10.6 4.6]
[13. 6. 11. 3.6]
[15.4 7.6 13.4 4.4]
[15.4 5.2 13.8 4.6]
[12. 4.4 10. 3. ]
[13.8 6.4 11.4 4.6]
[11.2 5.6 9.8 4. ]
[15.4 5.6 13.4 4. ]
[12.6 5.4 9.8 3.6]
[13.4 6.6 11.4 4.2]
[14.4 6.4 12. 3.6]
[12.4 5.6 9.6 3.6]
[12.2 6. 9.8 3.6]
[12.8 5.6 11.2 4.2]
[14.4 6. 11.6 3.2]
[14.8 5.6 12.2 3.8]
[15.8 7.6 12.8 4. ]
[12.8 5.6 11.2 4.4]
[12.6 5.6 10.2 3. ]
[12.2 5.2 11.2 2.8]
[15.4 6. 12.2 4.6]
[12.6 6.8 11.2 4.8]
[12.8 6.2 11. 3.6]
[12. 6. 9.6 3.6]
[13.8 6.2 10.8 4.2]
[13.4 6.2 11.2 4.8]
[13.8 6.2 10.2 4.6]
[11.6 5.4 10.2 3.8]
[13.6 6.4 11.8 4.6]
[13.4 6.6 11.4 5. ]
[13.4 6. 10.4 4.6]
[12.6 5. 10. 3.8]
[13. 6. 10.4 4. ]
[12.4 6.8 10.8 4.6]
[11.8 6. 10.2 3.6]]
-- 1 --Y--
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4 4 4 4 4 4 4 4 4 4 4
4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
4 4]
--预测集标签--
[4 2 0 4 0 4 0 2 2 2 4 2 2 2 2 0 2 2 0 0 4 2 0 0 4 0 0 2 2 0]
--预测结果--
[4 2 0 4 0 4 0 2 2 2 4 2 2 4 4 0 4 4 0 0 4 4 0 0 4 0 0 2 2 0]
-- 2 --X--
[[15.3 10.5 4.2 0.6]
[14.7 9. 4.2 0.6]
[14.1 9.6 3.9 0.6]
[13.8 9.3 4.5 0.6]
[15. 10.8 4.2 0.6]
[16.2 11.7 5.1 1.2]
[13.8 10.2 4.2 0.9]
[15. 10.2 4.5 0.6]
[13.2 8.7 4.2 0.6]
[14.7 9.3 4.5 0.3]
[16.2 11.1 4.5 0.6]
[14.4 10.2 4.8 0.6]
[14.4 9. 4.2 0.3]
[12.9 9. 3.3 0.3]
[17.4 12. 3.6 0.6]
[17.1 13.2 4.5 1.2]
[16.2 11.7 3.9 1.2]
[15.3 10.5 4.2 0.9]
[17.1 11.4 5.1 0.9]
[15.3 11.4 4.5 0.9]
[16.2 10.2 5.1 0.6]
[15.3 11.1 4.5 1.2]
[13.8 10.8 3. 0.6]
[15.3 9.9 5.1 1.5]
[14.4 10.2 5.7 0.6]
[15. 9. 4.8 0.6]
[15. 10.2 4.8 1.2]
[15.6 10.5 4.5 0.6]
[15.6 10.2 4.2 0.6]
[14.1 9.6 4.8 0.6]
[14.4 9.3 4.8 0.6]
[16.2 10.2 4.5 1.2]
[15.6 12.3 4.5 0.3]
[16.5 12.6 4.2 0.6]
[14.7 9.3 4.5 0.6]
[15. 9.6 3.6 0.6]
[16.5 10.5 3.9 0.6]
[14.7 10.8 4.2 0.3]
[13.2 9. 3.9 0.6]
[15.3 10.2 4.5 0.6]
[15. 10.5 3.9 0.9]
[13.5 6.9 3.9 0.9]
[13.2 9.6 3.9 0.6]
[15. 10.5 4.8 1.8]
[15.3 11.4 5.7 1.2]
[14.4 9. 4.2 0.9]
[15.3 11.4 4.8 0.6]
[13.8 9.6 4.2 0.6]
[15.9 11.1 4.5 0.6]
[15. 9.9 4.2 0.6]
[21. 9.6 14.1 4.2]
[19.2 9.6 13.5 4.5]
[20.7 9.3 14.7 4.5]
[16.5 6.9 12. 3.9]
[19.5 8.4 13.8 4.5]
[17.1 8.4 13.5 3.9]
[18.9 9.9 14.1 4.8]
[14.7 7.2 9.9 3. ]
[19.8 8.7 13.8 3.9]
[15.6 8.1 11.7 4.2]
[15. 6. 10.5 3. ]
[17.7 9. 12.6 4.5]
[18. 6.6 12. 3. ]
[18.3 8.7 14.1 4.2]
[16.8 8.7 10.8 3.9]
[20.1 9.3 13.2 4.2]
[16.8 9. 13.5 4.5]
[17.4 8.1 12.3 3. ]
[18.6 6.6 13.5 4.5]
[16.8 7.5 11.7 3.3]
[17.7 9.6 14.4 5.4]
[18.3 8.4 12. 3.9]
[18.9 7.5 14.7 4.5]
[18.3 8.4 14.1 3.6]
[19.2 8.7 12.9 3.9]
[19.8 9. 13.2 4.2]
[20.4 8.4 14.4 4.2]
[20.1 9. 15. 5.1]
[18. 8.7 13.5 4.5]
[17.1 7.8 10.5 3. ]
[16.5 7.2 11.4 3.3]
[16.5 7.2 11.1 3. ]
[17.4 8.1 11.7 3.6]
[18. 8.1 15.3 4.8]
[16.2 9. 13.5 4.5]
[18. 10.2 13.5 4.8]
[20.1 9.3 14.1 4.5]
[18.9 6.9 13.2 3.9]
[16.8 9. 12.3 3.9]
[16.5 7.5 12. 3.9]
[16.5 7.8 13.2 3.6]
[18.3 9. 13.8 4.2]
[17.4 7.8 12. 3.6]
[15. 6.9 9.9 3. ]
[16.8 8.1 12.6 3.9]
[17.1 9. 12.6 3.6]
[17.1 8.7 12.6 3.9]
[18.6 8.7 12.9 3.9]
[15.3 7.5 9. 3.3]
[17.1 8.4 12.3 3.9]
[18.9 9.9 18. 7.5]
[17.4 8.1 15.3 5.7]
[21.3 9. 17.7 6.3]
[18.9 8.7 16.8 5.4]
[19.5 9. 17.4 6.6]
[22.8 9. 19.8 6.3]
[14.7 7.5 13.5 5.1]
[21.9 8.7 18.9 5.4]
[20.1 7.5 17.4 5.4]
[21.6 10.8 18.3 7.5]
[19.5 9.6 15.3 6. ]
[19.2 8.1 15.9 5.7]
[20.4 9. 16.5 6.3]
[17.1 7.5 15. 6. ]
[17.4 8.4 15.3 7.2]
[19.2 9.6 15.9 6.9]
[19.5 9. 16.5 5.4]
[23.1 11.4 20.1 6.6]
[23.1 7.8 20.7 6.9]
[18. 6.6 15. 4.5]
[20.7 9.6 17.1 6.9]
[16.8 8.4 14.7 6. ]
[23.1 8.4 20.1 6. ]
[18.9 8.1 14.7 5.4]
[20.1 9.9 17.1 6.3]
[21.6 9.6 18. 5.4]
[18.6 8.4 14.4 5.4]
[18.3 9. 14.7 5.4]
[19.2 8.4 16.8 6.3]
[21.6 9. 17.4 4.8]
[22.2 8.4 18.3 5.7]
[23.7 11.4 19.2 6. ]
[19.2 8.4 16.8 6.6]
[18.9 8.4 15.3 4.5]
[18.3 7.8 16.8 4.2]
[23.1 9. 18.3 6.9]
[18.9 10.2 16.8 7.2]
[19.2 9.3 16.5 5.4]
[18. 9. 14.4 5.4]
[20.7 9.3 16.2 6.3]
[20.1 9.3 16.8 7.2]
[20.7 9.3 15.3 6.9]
[17.4 8.1 15.3 5.7]
[20.4 9.6 17.7 6.9]
[20.1 9.9 17.1 7.5]
[20.1 9. 15.6 6.9]
[18.9 7.5 15. 5.7]
[19.5 9. 15.6 6. ]
[18.6 10.2 16.2 6.9]
[17.7 9. 15.3 5.4]]
-- 2 --Y--
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 6 6 6 6 6 6 6 6 6 6 6
6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
6 6]
--预测集标签--
[6 3 0 6 0 6 0 3 3 3 6 3 3 3 3 0 3 3 0 0 6 3 0 0 6 0 0 3 3 0]
--预测结果--
[6 3 0 6 0 6 0 3 3 3 6 3 3 3 3 0 6 6 0 0 6 6 0 0 6 0 0 3 3 0]
-- 3 --X--
[[20.4 14. 5.6 0.8]
[19.6 12. 5.6 0.8]
[18.8 12.8 5.2 0.8]
[18.4 12.4 6. 0.8]
[20. 14.4 5.6 0.8]
[21.6 15.6 6.8 1.6]
[18.4 13.6 5.6 1.2]
[20. 13.6 6. 0.8]
[17.6 11.6 5.6 0.8]
[19.6 12.4 6. 0.4]
[21.6 14.8 6. 0.8]
[19.2 13.6 6.4 0.8]
[19.2 12. 5.6 0.4]
[17.2 12. 4.4 0.4]
[23.2 16. 4.8 0.8]
[22.8 17.6 6. 1.6]
[21.6 15.6 5.2 1.6]
[20.4 14. 5.6 1.2]
[22.8 15.2 6.8 1.2]
[20.4 15.2 6. 1.2]
[21.6 13.6 6.8 0.8]
[20.4 14.8 6. 1.6]
[18.4 14.4 4. 0.8]
[20.4 13.2 6.8 2. ]
[19.2 13.6 7.6 0.8]
[20. 12. 6.4 0.8]
[20. 13.6 6.4 1.6]
[20.8 14. 6. 0.8]
[20.8 13.6 5.6 0.8]
[18.8 12.8 6.4 0.8]
[19.2 12.4 6.4 0.8]
[21.6 13.6 6. 1.6]
[20.8 16.4 6. 0.4]
[22. 16.8 5.6 0.8]
[19.6 12.4 6. 0.8]
[20. 12.8 4.8 0.8]
[22. 14. 5.2 0.8]
[19.6 14.4 5.6 0.4]
[17.6 12. 5.2 0.8]
[20.4 13.6 6. 0.8]
[20. 14. 5.2 1.2]
[18. 9.2 5.2 1.2]
[17.6 12.8 5.2 0.8]
[20. 14. 6.4 2.4]
[20.4 15.2 7.6 1.6]
[19.2 12. 5.6 1.2]
[20.4 15.2 6.4 0.8]
[18.4 12.8 5.6 0.8]
[21.2 14.8 6. 0.8]
[20. 13.2 5.6 0.8]
[28. 12.8 18.8 5.6]
[25.6 12.8 18. 6. ]
[27.6 12.4 19.6 6. ]
[22. 9.2 16. 5.2]
[26. 11.2 18.4 6. ]
[22.8 11.2 18. 5.2]
[25.2 13.2 18.8 6.4]
[19.6 9.6 13.2 4. ]
[26.4 11.6 18.4 5.2]
[20.8 10.8 15.6 5.6]
[20. 8. 14. 4. ]
[23.6 12. 16.8 6. ]
[24. 8.8 16. 4. ]
[24.4 11.6 18.8 5.6]
[22.4 11.6 14.4 5.2]
[26.8 12.4 17.6 5.6]
[22.4 12. 18. 6. ]
[23.2 10.8 16.4 4. ]
[24.8 8.8 18. 6. ]
[22.4 10. 15.6 4.4]
[23.6 12.8 19.2 7.2]
[24.4 11.2 16. 5.2]
[25.2 10. 19.6 6. ]
[24.4 11.2 18.8 4.8]
[25.6 11.6 17.2 5.2]
[26.4 12. 17.6 5.6]
[27.2 11.2 19.2 5.6]
[26.8 12. 20. 6.8]
[24. 11.6 18. 6. ]
[22.8 10.4 14. 4. ]
[22. 9.6 15.2 4.4]
[22. 9.6 14.8 4. ]
[23.2 10.8 15.6 4.8]
[24. 10.8 20.4 6.4]
[21.6 12. 18. 6. ]
[24. 13.6 18. 6.4]
[26.8 12.4 18.8 6. ]
[25.2 9.2 17.6 5.2]
[22.4 12. 16.4 5.2]
[22. 10. 16. 5.2]
[22. 10.4 17.6 4.8]
[24.4 12. 18.4 5.6]
[23.2 10.4 16. 4.8]
[20. 9.2 13.2 4. ]
[22.4 10.8 16.8 5.2]
[22.8 12. 16.8 4.8]
[22.8 11.6 16.8 5.2]
[24.8 11.6 17.2 5.2]
[20.4 10. 12. 4.4]
[22.8 11.2 16.4 5.2]
[25.2 13.2 24. 10. ]
[23.2 10.8 20.4 7.6]
[28.4 12. 23.6 8.4]
[25.2 11.6 22.4 7.2]
[26. 12. 23.2 8.8]
[30.4 12. 26.4 8.4]
[19.6 10. 18. 6.8]
[29.2 11.6 25.2 7.2]
[26.8 10. 23.2 7.2]
[28.8 14.4 24.4 10. ]
[26. 12.8 20.4 8. ]
[25.6 10.8 21.2 7.6]
[27.2 12. 22. 8.4]
[22.8 10. 20. 8. ]
[23.2 11.2 20.4 9.6]
[25.6 12.8 21.2 9.2]
[26. 12. 22. 7.2]
[30.8 15.2 26.8 8.8]
[30.8 10.4 27.6 9.2]
[24. 8.8 20. 6. ]
[27.6 12.8 22.8 9.2]
[22.4 11.2 19.6 8. ]
[30.8 11.2 26.8 8. ]
[25.2 10.8 19.6 7.2]
[26.8 13.2 22.8 8.4]
[28.8 12.8 24. 7.2]
[24.8 11.2 19.2 7.2]
[24.4 12. 19.6 7.2]
[25.6 11.2 22.4 8.4]
[28.8 12. 23.2 6.4]
[29.6 11.2 24.4 7.6]
[31.6 15.2 25.6 8. ]
[25.6 11.2 22.4 8.8]
[25.2 11.2 20.4 6. ]
[24.4 10.4 22.4 5.6]
[30.8 12. 24.4 9.2]
[25.2 13.6 22.4 9.6]
[25.6 12.4 22. 7.2]
[24. 12. 19.2 7.2]
[27.6 12.4 21.6 8.4]
[26.8 12.4 22.4 9.6]
[27.6 12.4 20.4 9.2]
[23.2 10.8 20.4 7.6]
[27.2 12.8 23.6 9.2]
[26.8 13.2 22.8 10. ]
[26.8 12. 20.8 9.2]
[25.2 10. 20. 7.6]
[26. 12. 20.8 8. ]
[24.8 13.6 21.6 9.2]
[23.6 12. 20.4 7.2]]
-- 3 --Y--
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 8 8 8 8 8 8 8 8 8 8 8
8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8
8 8]
--预测集标签--
[8 4 0 8 0 8 0 4 4 4 8 4 4 4 4 0 4 4 0 0 8 4 0 0 8 0 0 4 4 0]
--预测结果--
[8 4 0 8 0 8 0 4 4 4 8 4 4 4 4 0 4 4 0 0 8 8 0 0 8 0 0 4 4 0]
-- 4 --X--
[[25.5 17.5 7. 1. ]
[24.5 15. 7. 1. ]
[23.5 16. 6.5 1. ]
[23. 15.5 7.5 1. ]
[25. 18. 7. 1. ]
[27. 19.5 8.5 2. ]
[23. 17. 7. 1.5]
[25. 17. 7.5 1. ]
[22. 14.5 7. 1. ]
[24.5 15.5 7.5 0.5]
[27. 18.5 7.5 1. ]
[24. 17. 8. 1. ]
[24. 15. 7. 0.5]
[21.5 15. 5.5 0.5]
[29. 20. 6. 1. ]
[28.5 22. 7.5 2. ]
[27. 19.5 6.5 2. ]
[25.5 17.5 7. 1.5]
[28.5 19. 8.5 1.5]
[25.5 19. 7.5 1.5]
[27. 17. 8.5 1. ]
[25.5 18.5 7.5 2. ]
[23. 18. 5. 1. ]
[25.5 16.5 8.5 2.5]
[24. 17. 9.5 1. ]
[25. 15. 8. 1. ]
[25. 17. 8. 2. ]
[26. 17.5 7.5 1. ]
[26. 17. 7. 1. ]
[23.5 16. 8. 1. ]
[24. 15.5 8. 1. ]
[27. 17. 7.5 2. ]
[26. 20.5 7.5 0.5]
[27.5 21. 7. 1. ]
[24.5 15.5 7.5 1. ]
[25. 16. 6. 1. ]
[27.5 17.5 6.5 1. ]
[24.5 18. 7. 0.5]
[22. 15. 6.5 1. ]
[25.5 17. 7.5 1. ]
[25. 17.5 6.5 1.5]
[22.5 11.5 6.5 1.5]
[22. 16. 6.5 1. ]
[25. 17.5 8. 3. ]
[25.5 19. 9.5 2. ]
[24. 15. 7. 1.5]
[25.5 19. 8. 1. ]
[23. 16. 7. 1. ]
[26.5 18.5 7.5 1. ]
[25. 16.5 7. 1. ]
[35. 16. 23.5 7. ]
[32. 16. 22.5 7.5]
[34.5 15.5 24.5 7.5]
[27.5 11.5 20. 6.5]
[32.5 14. 23. 7.5]
[28.5 14. 22.5 6.5]
[31.5 16.5 23.5 8. ]
[24.5 12. 16.5 5. ]
[33. 14.5 23. 6.5]
[26. 13.5 19.5 7. ]
[25. 10. 17.5 5. ]
[29.5 15. 21. 7.5]
[30. 11. 20. 5. ]
[30.5 14.5 23.5 7. ]
[28. 14.5 18. 6.5]
[33.5 15.5 22. 7. ]
[28. 15. 22.5 7.5]
[29. 13.5 20.5 5. ]
[31. 11. 22.5 7.5]
[28. 12.5 19.5 5.5]
[29.5 16. 24. 9. ]
[30.5 14. 20. 6.5]
[31.5 12.5 24.5 7.5]
[30.5 14. 23.5 6. ]
[32. 14.5 21.5 6.5]
[33. 15. 22. 7. ]
[34. 14. 24. 7. ]
[33.5 15. 25. 8.5]
[30. 14.5 22.5 7.5]
[28.5 13. 17.5 5. ]
[27.5 12. 19. 5.5]
[27.5 12. 18.5 5. ]
[29. 13.5 19.5 6. ]
[30. 13.5 25.5 8. ]
[27. 15. 22.5 7.5]
[30. 17. 22.5 8. ]
[33.5 15.5 23.5 7.5]
[31.5 11.5 22. 6.5]
[28. 15. 20.5 6.5]
[27.5 12.5 20. 6.5]
[27.5 13. 22. 6. ]
[30.5 15. 23. 7. ]
[29. 13. 20. 6. ]
[25. 11.5 16.5 5. ]
[28. 13.5 21. 6.5]
[28.5 15. 21. 6. ]
[28.5 14.5 21. 6.5]
[31. 14.5 21.5 6.5]
[25.5 12.5 15. 5.5]
[28.5 14. 20.5 6.5]
[31.5 16.5 30. 12.5]
[29. 13.5 25.5 9.5]
[35.5 15. 29.5 10.5]
[31.5 14.5 28. 9. ]
[32.5 15. 29. 11. ]
[38. 15. 33. 10.5]
[24.5 12.5 22.5 8.5]
[36.5 14.5 31.5 9. ]
[33.5 12.5 29. 9. ]
[36. 18. 30.5 12.5]
[32.5 16. 25.5 10. ]
[32. 13.5 26.5 9.5]
[34. 15. 27.5 10.5]
[28.5 12.5 25. 10. ]
[29. 14. 25.5 12. ]
[32. 16. 26.5 11.5]
[32.5 15. 27.5 9. ]
[38.5 19. 33.5 11. ]
[38.5 13. 34.5 11.5]
[30. 11. 25. 7.5]
[34.5 16. 28.5 11.5]
[28. 14. 24.5 10. ]
[38.5 14. 33.5 10. ]
[31.5 13.5 24.5 9. ]
[33.5 16.5 28.5 10.5]
[36. 16. 30. 9. ]
[31. 14. 24. 9. ]
[30.5 15. 24.5 9. ]
[32. 14. 28. 10.5]
[36. 15. 29. 8. ]
[37. 14. 30.5 9.5]
[39.5 19. 32. 10. ]
[32. 14. 28. 11. ]
[31.5 14. 25.5 7.5]
[30.5 13. 28. 7. ]
[38.5 15. 30.5 11.5]
[31.5 17. 28. 12. ]
[32. 15.5 27.5 9. ]
[30. 15. 24. 9. ]
[34.5 15.5 27. 10.5]
[33.5 15.5 28. 12. ]
[34.5 15.5 25.5 11.5]
[29. 13.5 25.5 9.5]
[34. 16. 29.5 11.5]
[33.5 16.5 28.5 12.5]
[33.5 15. 26. 11.5]
[31.5 12.5 25. 9.5]
[32.5 15. 26. 10. ]
[31. 17. 27. 11.5]
[29.5 15. 25.5 9. ]]
-- 4 --Y--
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5
5 5 5 5 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
10 10 10 10 10 10]
--预测集标签--
[10 5 0 10 0 10 0 5 5 5 10 5 5 5 5 0 5 5 0 0 10 5 0 0
10 0 0 5 5 0]
--预测结果--
[10 5 0 10 0 10 0 5 5 5 10 5 5 5 5 0 5 5 0 0 10 10 0 0
10 0 0 5 5 0]
-- 5 --X--
[[30.6 21. 8.4 1.2]
[29.4 18. 8.4 1.2]
[28.2 19.2 7.8 1.2]
[27.6 18.6 9. 1.2]
[30. 21.6 8.4 1.2]
[32.4 23.4 10.2 2.4]
[27.6 20.4 8.4 1.8]
[30. 20.4 9. 1.2]
[26.4 17.4 8.4 1.2]
[29.4 18.6 9. 0.6]
[32.4 22.2 9. 1.2]
[28.8 20.4 9.6 1.2]
[28.8 18. 8.4 0.6]
[25.8 18. 6.6 0.6]
[34.8 24. 7.2 1.2]
[34.2 26.4 9. 2.4]
[32.4 23.4 7.8 2.4]
[30.6 21. 8.4 1.8]
[34.2 22.8 10.2 1.8]
[30.6 22.8 9. 1.8]
[32.4 20.4 10.2 1.2]
[30.6 22.2 9. 2.4]
[27.6 21.6 6. 1.2]
[30.6 19.8 10.2 3. ]
[28.8 20.4 11.4 1.2]
[30. 18. 9.6 1.2]
[30. 20.4 9.6 2.4]
[31.2 21. 9. 1.2]
[31.2 20.4 8.4 1.2]
[28.2 19.2 9.6 1.2]
[28.8 18.6 9.6 1.2]
[32.4 20.4 9. 2.4]
[31.2 24.6 9. 0.6]
[33. 25.2 8.4 1.2]
[29.4 18.6 9. 1.2]
[30. 19.2 7.2 1.2]
[33. 21. 7.8 1.2]
[29.4 21.6 8.4 0.6]
[26.4 18. 7.8 1.2]
[30.6 20.4 9. 1.2]
[30. 21. 7.8 1.8]
[27. 13.8 7.8 1.8]
[26.4 19.2 7.8 1.2]
[30. 21. 9.6 3.6]
[30.6 22.8 11.4 2.4]
[28.8 18. 8.4 1.8]
[30.6 22.8 9.6 1.2]
[27.6 19.2 8.4 1.2]
[31.8 22.2 9. 1.2]
[30. 19.8 8.4 1.2]
[42. 19.2 28.2 8.4]
[38.4 19.2 27. 9. ]
[41.4 18.6 29.4 9. ]
[33. 13.8 24. 7.8]
[39. 16.8 27.6 9. ]
[34.2 16.8 27. 7.8]
[37.8 19.8 28.2 9.6]
[29.4 14.4 19.8 6. ]
[39.6 17.4 27.6 7.8]
[31.2 16.2 23.4 8.4]
[30. 12. 21. 6. ]
[35.4 18. 25.2 9. ]
[36. 13.2 24. 6. ]
[36.6 17.4 28.2 8.4]
[33.6 17.4 21.6 7.8]
[40.2 18.6 26.4 8.4]
[33.6 18. 27. 9. ]
[34.8 16.2 24.6 6. ]
[37.2 13.2 27. 9. ]
[33.6 15. 23.4 6.6]
[35.4 19.2 28.8 10.8]
[36.6 16.8 24. 7.8]
[37.8 15. 29.4 9. ]
[36.6 16.8 28.2 7.2]
[38.4 17.4 25.8 7.8]
[39.6 18. 26.4 8.4]
[40.8 16.8 28.8 8.4]
[40.2 18. 30. 10.2]
[36. 17.4 27. 9. ]
[34.2 15.6 21. 6. ]
[33. 14.4 22.8 6.6]
[33. 14.4 22.2 6. ]
[34.8 16.2 23.4 7.2]
[36. 16.2 30.6 9.6]
[32.4 18. 27. 9. ]
[36. 20.4 27. 9.6]
[40.2 18.6 28.2 9. ]
[37.8 13.8 26.4 7.8]
[33.6 18. 24.6 7.8]
[33. 15. 24. 7.8]
[33. 15.6 26.4 7.2]
[36.6 18. 27.6 8.4]
[34.8 15.6 24. 7.2]
[30. 13.8 19.8 6. ]
[33.6 16.2 25.2 7.8]
[34.2 18. 25.2 7.2]
[34.2 17.4 25.2 7.8]
[37.2 17.4 25.8 7.8]
[30.6 15. 18. 6.6]
[34.2 16.8 24.6 7.8]
[37.8 19.8 36. 15. ]
[34.8 16.2 30.6 11.4]
[42.6 18. 35.4 12.6]
[37.8 17.4 33.6 10.8]
[39. 18. 34.8 13.2]
[45.6 18. 39.6 12.6]
[29.4 15. 27. 10.2]
[43.8 17.4 37.8 10.8]
[40.2 15. 34.8 10.8]
[43.2 21.6 36.6 15. ]
[39. 19.2 30.6 12. ]
[38.4 16.2 31.8 11.4]
[40.8 18. 33. 12.6]
[34.2 15. 30. 12. ]
[34.8 16.8 30.6 14.4]
[38.4 19.2 31.8 13.8]
[39. 18. 33. 10.8]
[46.2 22.8 40.2 13.2]
[46.2 15.6 41.4 13.8]
[36. 13.2 30. 9. ]
[41.4 19.2 34.2 13.8]
[33.6 16.8 29.4 12. ]
[46.2 16.8 40.2 12. ]
[37.8 16.2 29.4 10.8]
[40.2 19.8 34.2 12.6]
[43.2 19.2 36. 10.8]
[37.2 16.8 28.8 10.8]
[36.6 18. 29.4 10.8]
[38.4 16.8 33.6 12.6]
[43.2 18. 34.8 9.6]
[44.4 16.8 36.6 11.4]
[47.4 22.8 38.4 12. ]
[38.4 16.8 33.6 13.2]
[37.8 16.8 30.6 9. ]
[36.6 15.6 33.6 8.4]
[46.2 18. 36.6 13.8]
[37.8 20.4 33.6 14.4]
[38.4 18.6 33. 10.8]
[36. 18. 28.8 10.8]
[41.4 18.6 32.4 12.6]
[40.2 18.6 33.6 14.4]
[41.4 18.6 30.6 13.8]
[34.8 16.2 30.6 11.4]
[40.8 19.2 35.4 13.8]
[40.2 19.8 34.2 15. ]
[40.2 18. 31.2 13.8]
[37.8 15. 30. 11.4]
[39. 18. 31.2 12. ]
[37.2 20.4 32.4 13.8]
[35.4 18. 30.6 10.8]]
-- 5 --Y--
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6
6 6 6 6 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12
12 12 12 12 12 12]
--预测集标签--
[12 6 0 12 0 12 0 6 6 6 12 6 6 6 6 0 6 6 0 0 12 6 0 0
12 0 0 6 6 0]
--预测结果--
[12 6 0 12 0 12 0 6 6 6 12 6 6 6 6 0 6 6 0 0 12 6 0 0
12 0 0 6 6 0]
-- 6 --X--
[[35.7 24.5 9.8 1.4]
[34.3 21. 9.8 1.4]
[32.9 22.4 9.1 1.4]
[32.2 21.7 10.5 1.4]
[35. 25.2 9.8 1.4]
[37.8 27.3 11.9 2.8]
[32.2 23.8 9.8 2.1]
[35. 23.8 10.5 1.4]
[30.8 20.3 9.8 1.4]
[34.3 21.7 10.5 0.7]
[37.8 25.9 10.5 1.4]
[33.6 23.8 11.2 1.4]
[33.6 21. 9.8 0.7]
[30.1 21. 7.7 0.7]
[40.6 28. 8.4 1.4]
[39.9 30.8 10.5 2.8]
[37.8 27.3 9.1 2.8]
[35.7 24.5 9.8 2.1]
[39.9 26.6 11.9 2.1]
[35.7 26.6 10.5 2.1]
[37.8 23.8 11.9 1.4]
[35.7 25.9 10.5 2.8]
[32.2 25.2 7. 1.4]
[35.7 23.1 11.9 3.5]
[33.6 23.8 13.3 1.4]
[35. 21. 11.2 1.4]
[35. 23.8 11.2 2.8]
[36.4 24.5 10.5 1.4]
[36.4 23.8 9.8 1.4]
[32.9 22.4 11.2 1.4]
[33.6 21.7 11.2 1.4]
[37.8 23.8 10.5 2.8]
[36.4 28.7 10.5 0.7]
[38.5 29.4 9.8 1.4]
[34.3 21.7 10.5 1.4]
[35. 22.4 8.4 1.4]
[38.5 24.5 9.1 1.4]
[34.3 25.2 9.8 0.7]
[30.8 21. 9.1 1.4]
[35.7 23.8 10.5 1.4]
[35. 24.5 9.1 2.1]
[31.5 16.1 9.1 2.1]
[30.8 22.4 9.1 1.4]
[35. 24.5 11.2 4.2]
[35.7 26.6 13.3 2.8]
[33.6 21. 9.8 2.1]
[35.7 26.6 11.2 1.4]
[32.2 22.4 9.8 1.4]
[37.1 25.9 10.5 1.4]
[35. 23.1 9.8 1.4]
[49. 22.4 32.9 9.8]
[44.8 22.4 31.5 10.5]
[48.3 21.7 34.3 10.5]
[38.5 16.1 28. 9.1]
[45.5 19.6 32.2 10.5]
[39.9 19.6 31.5 9.1]
[44.1 23.1 32.9 11.2]
[34.3 16.8 23.1 7. ]
[46.2 20.3 32.2 9.1]
[36.4 18.9 27.3 9.8]
[35. 14. 24.5 7. ]
[41.3 21. 29.4 10.5]
[42. 15.4 28. 7. ]
[42.7 20.3 32.9 9.8]
[39.2 20.3 25.2 9.1]
[46.9 21.7 30.8 9.8]
[39.2 21. 31.5 10.5]
[40.6 18.9 28.7 7. ]
[43.4 15.4 31.5 10.5]
[39.2 17.5 27.3 7.7]
[41.3 22.4 33.6 12.6]
[42.7 19.6 28. 9.1]
[44.1 17.5 34.3 10.5]
[42.7 19.6 32.9 8.4]
[44.8 20.3 30.1 9.1]
[46.2 21. 30.8 9.8]
[47.6 19.6 33.6 9.8]
[46.9 21. 35. 11.9]
[42. 20.3 31.5 10.5]
[39.9 18.2 24.5 7. ]
[38.5 16.8 26.6 7.7]
[38.5 16.8 25.9 7. ]
[40.6 18.9 27.3 8.4]
[42. 18.9 35.7 11.2]
[37.8 21. 31.5 10.5]
[42. 23.8 31.5 11.2]
[46.9 21.7 32.9 10.5]
[44.1 16.1 30.8 9.1]
[39.2 21. 28.7 9.1]
[38.5 17.5 28. 9.1]
[38.5 18.2 30.8 8.4]
[42.7 21. 32.2 9.8]
[40.6 18.2 28. 8.4]
[35. 16.1 23.1 7. ]
[39.2 18.9 29.4 9.1]
[39.9 21. 29.4 8.4]
[39.9 20.3 29.4 9.1]
[43.4 20.3 30.1 9.1]
[35.7 17.5 21. 7.7]
[39.9 19.6 28.7 9.1]
[44.1 23.1 42. 17.5]
[40.6 18.9 35.7 13.3]
[49.7 21. 41.3 14.7]
[44.1 20.3 39.2 12.6]
[45.5 21. 40.6 15.4]
[53.2 21. 46.2 14.7]
[34.3 17.5 31.5 11.9]
[51.1 20.3 44.1 12.6]
[46.9 17.5 40.6 12.6]
[50.4 25.2 42.7 17.5]
[45.5 22.4 35.7 14. ]
[44.8 18.9 37.1 13.3]
[47.6 21. 38.5 14.7]
[39.9 17.5 35. 14. ]
[40.6 19.6 35.7 16.8]
[44.8 22.4 37.1 16.1]
[45.5 21. 38.5 12.6]
[53.9 26.6 46.9 15.4]
[53.9 18.2 48.3 16.1]
[42. 15.4 35. 10.5]
[48.3 22.4 39.9 16.1]
[39.2 19.6 34.3 14. ]
[53.9 19.6 46.9 14. ]
[44.1 18.9 34.3 12.6]
[46.9 23.1 39.9 14.7]
[50.4 22.4 42. 12.6]
[43.4 19.6 33.6 12.6]
[42.7 21. 34.3 12.6]
[44.8 19.6 39.2 14.7]
[50.4 21. 40.6 11.2]
[51.8 19.6 42.7 13.3]
[55.3 26.6 44.8 14. ]
[44.8 19.6 39.2 15.4]
[44.1 19.6 35.7 10.5]
[42.7 18.2 39.2 9.8]
[53.9 21. 42.7 16.1]
[44.1 23.8 39.2 16.8]
[44.8 21.7 38.5 12.6]
[42. 21. 33.6 12.6]
[48.3 21.7 37.8 14.7]
[46.9 21.7 39.2 16.8]
[48.3 21.7 35.7 16.1]
[40.6 18.9 35.7 13.3]
[47.6 22.4 41.3 16.1]
[46.9 23.1 39.9 17.5]
[46.9 21. 36.4 16.1]
[44.1 17.5 35. 13.3]
[45.5 21. 36.4 14. ]
[43.4 23.8 37.8 16.1]
[41.3 21. 35.7 12.6]]
-- 6 --Y--
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7 7
7 7 7 7 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14 14
14 14 14 14 14 14]
--预测集标签--
[14 7 0 14 0 14 0 7 7 7 14 7 7 7 7 0 7 7 0 0 14 7 0 0
14 0 0 7 7 0]
--预测结果--
[14 7 0 14 0 14 0 7 7 7 14 7 7 7 7 0 7 7 0 0 14 7 0 0
14 0 0 7 7 0]
-- 7 --X--
[[40.8 28. 11.2 1.6]
[39.2 24. 11.2 1.6]
[37.6 25.6 10.4 1.6]
[36.8 24.8 12. 1.6]
[40. 28.8 11.2 1.6]
[43.2 31.2 13.6 3.2]
[36.8 27.2 11.2 2.4]
[40. 27.2 12. 1.6]
[35.2 23.2 11.2 1.6]
[39.2 24.8 12. 0.8]
[43.2 29.6 12. 1.6]
[38.4 27.2 12.8 1.6]
[38.4 24. 11.2 0.8]
[34.4 24. 8.8 0.8]
[46.4 32. 9.6 1.6]
[45.6 35.2 12. 3.2]
[43.2 31.2 10.4 3.2]
[40.8 28. 11.2 2.4]
[45.6 30.4 13.6 2.4]
[40.8 30.4 12. 2.4]
[43.2 27.2 13.6 1.6]
[40.8 29.6 12. 3.2]
[36.8 28.8 8. 1.6]
[40.8 26.4 13.6 4. ]
[38.4 27.2 15.2 1.6]
[40. 24. 12.8 1.6]
[40. 27.2 12.8 3.2]
[41.6 28. 12. 1.6]
[41.6 27.2 11.2 1.6]
[37.6 25.6 12.8 1.6]
[38.4 24.8 12.8 1.6]
[43.2 27.2 12. 3.2]
[41.6 32.8 12. 0.8]
[44. 33.6 11.2 1.6]
[39.2 24.8 12. 1.6]
[40. 25.6 9.6 1.6]
[44. 28. 10.4 1.6]
[39.2 28.8 11.2 0.8]
[35.2 24. 10.4 1.6]
[40.8 27.2 12. 1.6]
[40. 28. 10.4 2.4]
[36. 18.4 10.4 2.4]
[35.2 25.6 10.4 1.6]
[40. 28. 12.8 4.8]
[40.8 30.4 15.2 3.2]
[38.4 24. 11.2 2.4]
[40.8 30.4 12.8 1.6]
[36.8 25.6 11.2 1.6]
[42.4 29.6 12. 1.6]
[40. 26.4 11.2 1.6]
[56. 25.6 37.6 11.2]
[51.2 25.6 36. 12. ]
[55.2 24.8 39.2 12. ]
[44. 18.4 32. 10.4]
[52. 22.4 36.8 12. ]
[45.6 22.4 36. 10.4]
[50.4 26.4 37.6 12.8]
[39.2 19.2 26.4 8. ]
[52.8 23.2 36.8 10.4]
[41.6 21.6 31.2 11.2]
[40. 16. 28. 8. ]
[47.2 24. 33.6 12. ]
[48. 17.6 32. 8. ]
[48.8 23.2 37.6 11.2]
[44.8 23.2 28.8 10.4]
[53.6 24.8 35.2 11.2]
[44.8 24. 36. 12. ]
[46.4 21.6 32.8 8. ]
[49.6 17.6 36. 12. ]
[44.8 20. 31.2 8.8]
[47.2 25.6 38.4 14.4]
[48.8 22.4 32. 10.4]
[50.4 20. 39.2 12. ]
[48.8 22.4 37.6 9.6]
[51.2 23.2 34.4 10.4]
[52.8 24. 35.2 11.2]
[54.4 22.4 38.4 11.2]
[53.6 24. 40. 13.6]
[48. 23.2 36. 12. ]
[45.6 20.8 28. 8. ]
[44. 19.2 30.4 8.8]
[44. 19.2 29.6 8. ]
[46.4 21.6 31.2 9.6]
[48. 21.6 40.8 12.8]
[43.2 24. 36. 12. ]
[48. 27.2 36. 12.8]
[53.6 24.8 37.6 12. ]
[50.4 18.4 35.2 10.4]
[44.8 24. 32.8 10.4]
[44. 20. 32. 10.4]
[44. 20.8 35.2 9.6]
[48.8 24. 36.8 11.2]
[46.4 20.8 32. 9.6]
[40. 18.4 26.4 8. ]
[44.8 21.6 33.6 10.4]
[45.6 24. 33.6 9.6]
[45.6 23.2 33.6 10.4]
[49.6 23.2 34.4 10.4]
[40.8 20. 24. 8.8]
[45.6 22.4 32.8 10.4]
[50.4 26.4 48. 20. ]
[46.4 21.6 40.8 15.2]
[56.8 24. 47.2 16.8]
[50.4 23.2 44.8 14.4]
[52. 24. 46.4 17.6]
[60.8 24. 52.8 16.8]
[39.2 20. 36. 13.6]
[58.4 23.2 50.4 14.4]
[53.6 20. 46.4 14.4]
[57.6 28.8 48.8 20. ]
[52. 25.6 40.8 16. ]
[51.2 21.6 42.4 15.2]
[54.4 24. 44. 16.8]
[45.6 20. 40. 16. ]
[46.4 22.4 40.8 19.2]
[51.2 25.6 42.4 18.4]
[52. 24. 44. 14.4]
[61.6 30.4 53.6 17.6]
[61.6 20.8 55.2 18.4]
[48. 17.6 40. 12. ]
[55.2 25.6 45.6 18.4]
[44.8 22.4 39.2 16. ]
[61.6 22.4 53.6 16. ]
[50.4 21.6 39.2 14.4]
[53.6 26.4 45.6 16.8]
[57.6 25.6 48. 14.4]
[49.6 22.4 38.4 14.4]
[48.8 24. 39.2 14.4]
[51.2 22.4 44.8 16.8]
[57.6 24. 46.4 12.8]
[59.2 22.4 48.8 15.2]
[63.2 30.4 51.2 16. ]
[51.2 22.4 44.8 17.6]
[50.4 22.4 40.8 12. ]
[48.8 20.8 44.8 11.2]
[61.6 24. 48.8 18.4]
[50.4 27.2 44.8 19.2]
[51.2 24.8 44. 14.4]
[48. 24. 38.4 14.4]
[55.2 24.8 43.2 16.8]
[53.6 24.8 44.8 19.2]
[55.2 24.8 40.8 18.4]
[46.4 21.6 40.8 15.2]
[54.4 25.6 47.2 18.4]
[53.6 26.4 45.6 20. ]
[53.6 24. 41.6 18.4]
[50.4 20. 40. 15.2]
[52. 24. 41.6 16. ]
[49.6 27.2 43.2 18.4]
[47.2 24. 40.8 14.4]]
-- 7 --Y--
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8
8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8 8
8 8 8 8 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
16 16 16 16 16 16]
--预测集标签--
[16 8 0 16 0 16 0 8 8 8 16 8 8 8 8 0 8 8 0 0 16 8 0 0
16 0 0 8 8 0]
--预测结果--
[16 8 0 16 0 16 0 8 8 8 16 8 8 8 8 0 8 8 0 0 16 8 0 0
16 0 0 8 8 0]
-- 8 --X--
[[45.9 31.5 12.6 1.8]
[44.1 27. 12.6 1.8]
[42.3 28.8 11.7 1.8]
[41.4 27.9 13.5 1.8]
[45. 32.4 12.6 1.8]
[48.6 35.1 15.3 3.6]
[41.4 30.6 12.6 2.7]
[45. 30.6 13.5 1.8]
[39.6 26.1 12.6 1.8]
[44.1 27.9 13.5 0.9]
[48.6 33.3 13.5 1.8]
[43.2 30.6 14.4 1.8]
[43.2 27. 12.6 0.9]
[38.7 27. 9.9 0.9]
[52.2 36. 10.8 1.8]
[51.3 39.6 13.5 3.6]
[48.6 35.1 11.7 3.6]
[45.9 31.5 12.6 2.7]
[51.3 34.2 15.3 2.7]
[45.9 34.2 13.5 2.7]
[48.6 30.6 15.3 1.8]
[45.9 33.3 13.5 3.6]
[41.4 32.4 9. 1.8]
[45.9 29.7 15.3 4.5]
[43.2 30.6 17.1 1.8]
[45. 27. 14.4 1.8]
[45. 30.6 14.4 3.6]
[46.8 31.5 13.5 1.8]
[46.8 30.6 12.6 1.8]
[42.3 28.8 14.4 1.8]
[43.2 27.9 14.4 1.8]
[48.6 30.6 13.5 3.6]
[46.8 36.9 13.5 0.9]
[49.5 37.8 12.6 1.8]
[44.1 27.9 13.5 1.8]
[45. 28.8 10.8 1.8]
[49.5 31.5 11.7 1.8]
[44.1 32.4 12.6 0.9]
[39.6 27. 11.7 1.8]
[45.9 30.6 13.5 1.8]
[45. 31.5 11.7 2.7]
[40.5 20.7 11.7 2.7]
[39.6 28.8 11.7 1.8]
[45. 31.5 14.4 5.4]
[45.9 34.2 17.1 3.6]
[43.2 27. 12.6 2.7]
[45.9 34.2 14.4 1.8]
[41.4 28.8 12.6 1.8]
[47.7 33.3 13.5 1.8]
[45. 29.7 12.6 1.8]
[63. 28.8 42.3 12.6]
[57.6 28.8 40.5 13.5]
[62.1 27.9 44.1 13.5]
[49.5 20.7 36. 11.7]
[58.5 25.2 41.4 13.5]
[51.3 25.2 40.5 11.7]
[56.7 29.7 42.3 14.4]
[44.1 21.6 29.7 9. ]
[59.4 26.1 41.4 11.7]
[46.8 24.3 35.1 12.6]
[45. 18. 31.5 9. ]
[53.1 27. 37.8 13.5]
[54. 19.8 36. 9. ]
[54.9 26.1 42.3 12.6]
[50.4 26.1 32.4 11.7]
[60.3 27.9 39.6 12.6]
[50.4 27. 40.5 13.5]
[52.2 24.3 36.9 9. ]
[55.8 19.8 40.5 13.5]
[50.4 22.5 35.1 9.9]
[53.1 28.8 43.2 16.2]
[54.9 25.2 36. 11.7]
[56.7 22.5 44.1 13.5]
[54.9 25.2 42.3 10.8]
[57.6 26.1 38.7 11.7]
[59.4 27. 39.6 12.6]
[61.2 25.2 43.2 12.6]
[60.3 27. 45. 15.3]
[54. 26.1 40.5 13.5]
[51.3 23.4 31.5 9. ]
[49.5 21.6 34.2 9.9]
[49.5 21.6 33.3 9. ]
[52.2 24.3 35.1 10.8]
[54. 24.3 45.9 14.4]
[48.6 27. 40.5 13.5]
[54. 30.6 40.5 14.4]
[60.3 27.9 42.3 13.5]
[56.7 20.7 39.6 11.7]
[50.4 27. 36.9 11.7]
[49.5 22.5 36. 11.7]
[49.5 23.4 39.6 10.8]
[54.9 27. 41.4 12.6]
[52.2 23.4 36. 10.8]
[45. 20.7 29.7 9. ]
[50.4 24.3 37.8 11.7]
[51.3 27. 37.8 10.8]
[51.3 26.1 37.8 11.7]
[55.8 26.1 38.7 11.7]
[45.9 22.5 27. 9.9]
[51.3 25.2 36.9 11.7]
[56.7 29.7 54. 22.5]
[52.2 24.3 45.9 17.1]
[63.9 27. 53.1 18.9]
[56.7 26.1 50.4 16.2]
[58.5 27. 52.2 19.8]
[68.4 27. 59.4 18.9]
[44.1 22.5 40.5 15.3]
[65.7 26.1 56.7 16.2]
[60.3 22.5 52.2 16.2]
[64.8 32.4 54.9 22.5]
[58.5 28.8 45.9 18. ]
[57.6 24.3 47.7 17.1]
[61.2 27. 49.5 18.9]
[51.3 22.5 45. 18. ]
[52.2 25.2 45.9 21.6]
[57.6 28.8 47.7 20.7]
[58.5 27. 49.5 16.2]
[69.3 34.2 60.3 19.8]
[69.3 23.4 62.1 20.7]
[54. 19.8 45. 13.5]
[62.1 28.8 51.3 20.7]
[50.4 25.2 44.1 18. ]
[69.3 25.2 60.3 18. ]
[56.7 24.3 44.1 16.2]
[60.3 29.7 51.3 18.9]
[64.8 28.8 54. 16.2]
[55.8 25.2 43.2 16.2]
[54.9 27. 44.1 16.2]
[57.6 25.2 50.4 18.9]
[64.8 27. 52.2 14.4]
[66.6 25.2 54.9 17.1]
[71.1 34.2 57.6 18. ]
[57.6 25.2 50.4 19.8]
[56.7 25.2 45.9 13.5]
[54.9 23.4 50.4 12.6]
[69.3 27. 54.9 20.7]
[56.7 30.6 50.4 21.6]
[57.6 27.9 49.5 16.2]
[54. 27. 43.2 16.2]
[62.1 27.9 48.6 18.9]
[60.3 27.9 50.4 21.6]
[62.1 27.9 45.9 20.7]
[52.2 24.3 45.9 17.1]
[61.2 28.8 53.1 20.7]
[60.3 29.7 51.3 22.5]
[60.3 27. 46.8 20.7]
[56.7 22.5 45. 17.1]
[58.5 27. 46.8 18. ]
[55.8 30.6 48.6 20.7]
[53.1 27. 45.9 16.2]]
-- 8 --Y--
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9
9 9 9 9 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18 18
18 18 18 18 18 18]
--预测集标签--
[18 9 0 18 0 18 0 9 9 9 18 9 9 9 9 0 9 9 0 0 18 9 0 0
18 0 0 9 9 0]
--预测结果--
[18 9 0 18 0 18 0 9 9 9 18 9 9 9 9 0 9 9 0 0 18 9 0 0
18 0 0 9 9 0]
-- 9 --X--
[[51. 35. 14. 2.]
[49. 30. 14. 2.]
[47. 32. 13. 2.]
[46. 31. 15. 2.]
[50. 36. 14. 2.]
[54. 39. 17. 4.]
[46. 34. 14. 3.]
[50. 34. 15. 2.]
[44. 29. 14. 2.]
[49. 31. 15. 1.]
[54. 37. 15. 2.]
[48. 34. 16. 2.]
[48. 30. 14. 1.]
[43. 30. 11. 1.]
[58. 40. 12. 2.]
[57. 44. 15. 4.]
[54. 39. 13. 4.]
[51. 35. 14. 3.]
[57. 38. 17. 3.]
[51. 38. 15. 3.]
[54. 34. 17. 2.]
[51. 37. 15. 4.]
[46. 36. 10. 2.]
[51. 33. 17. 5.]
[48. 34. 19. 2.]
[50. 30. 16. 2.]
[50. 34. 16. 4.]
[52. 35. 15. 2.]
[52. 34. 14. 2.]
[47. 32. 16. 2.]
[48. 31. 16. 2.]
[54. 34. 15. 4.]
[52. 41. 15. 1.]
[55. 42. 14. 2.]
[49. 31. 15. 2.]
[50. 32. 12. 2.]
[55. 35. 13. 2.]
[49. 36. 14. 1.]
[44. 30. 13. 2.]
[51. 34. 15. 2.]
[50. 35. 13. 3.]
[45. 23. 13. 3.]
[44. 32. 13. 2.]
[50. 35. 16. 6.]
[51. 38. 19. 4.]
[48. 30. 14. 3.]
[51. 38. 16. 2.]
[46. 32. 14. 2.]
[53. 37. 15. 2.]
[50. 33. 14. 2.]
[70. 32. 47. 14.]
[64. 32. 45. 15.]
[69. 31. 49. 15.]
[55. 23. 40. 13.]
[65. 28. 46. 15.]
[57. 28. 45. 13.]
[63. 33. 47. 16.]
[49. 24. 33. 10.]
[66. 29. 46. 13.]
[52. 27. 39. 14.]
[50. 20. 35. 10.]
[59. 30. 42. 15.]
[60. 22. 40. 10.]
[61. 29. 47. 14.]
[56. 29. 36. 13.]
[67. 31. 44. 14.]
[56. 30. 45. 15.]
[58. 27. 41. 10.]
[62. 22. 45. 15.]
[56. 25. 39. 11.]
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[63. 25. 49. 15.]
[61. 28. 47. 12.]
[64. 29. 43. 13.]
[66. 30. 44. 14.]
[68. 28. 48. 14.]
[67. 30. 50. 17.]
[60. 29. 45. 15.]
[57. 26. 35. 10.]
[55. 24. 38. 11.]
[55. 24. 37. 10.]
[58. 27. 39. 12.]
[60. 27. 51. 16.]
[54. 30. 45. 15.]
[60. 34. 45. 16.]
[67. 31. 47. 15.]
[63. 23. 44. 13.]
[56. 30. 41. 13.]
[55. 25. 40. 13.]
[55. 26. 44. 12.]
[61. 30. 46. 14.]
[58. 26. 40. 12.]
[50. 23. 33. 10.]
[56. 27. 42. 13.]
[57. 30. 42. 12.]
[57. 29. 42. 13.]
[62. 29. 43. 13.]
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[63. 33. 60. 25.]
[58. 27. 51. 19.]
[71. 30. 59. 21.]
[63. 29. 56. 18.]
[65. 30. 58. 22.]
[76. 30. 66. 21.]
[49. 25. 45. 17.]
[73. 29. 63. 18.]
[67. 25. 58. 18.]
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[68. 30. 55. 21.]
[57. 25. 50. 20.]
[58. 28. 51. 24.]
[64. 32. 53. 23.]
[65. 30. 55. 18.]
[77. 38. 67. 22.]
[77. 26. 69. 23.]
[60. 22. 50. 15.]
[69. 32. 57. 23.]
[56. 28. 49. 20.]
[77. 28. 67. 20.]
[63. 27. 49. 18.]
[67. 33. 57. 21.]
[72. 32. 60. 18.]
[62. 28. 48. 18.]
[61. 30. 49. 18.]
[64. 28. 56. 21.]
[72. 30. 58. 16.]
[74. 28. 61. 19.]
[79. 38. 64. 20.]
[64. 28. 56. 22.]
[63. 28. 51. 15.]
[61. 26. 56. 14.]
[77. 30. 61. 23.]
[63. 34. 56. 24.]
[64. 31. 55. 18.]
[60. 30. 48. 18.]
[69. 31. 54. 21.]
[67. 31. 56. 24.]
[69. 31. 51. 23.]
[58. 27. 51. 19.]
[68. 32. 59. 23.]
[67. 33. 57. 25.]
[67. 30. 52. 23.]
[63. 25. 50. 19.]
[65. 30. 52. 20.]
[62. 34. 54. 23.]
[59. 30. 51. 18.]]
-- 9 --Y--
[ 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10 10
10 10 10 10 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20
20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20 20
20 20 20 20 20 20]
--预测集标签--
[20 10 0 20 0 20 0 10 10 10 20 10 10 10 10 0 10 10 0 0 20 10 0 0
20 0 0 10 10 0]
--预测结果--
[20 10 0 20 0 20 0 10 10 10 20 10 10 10 10 0 10 10 0 0 20 10 0 0
20 0 0 10 10 0]
Process finished with exit code 0
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