主要内容
fitcauto
自动选择与优化hyperparameters分类模型
语法
描述
考虑到预测和响应数据,fitcauto自动尝试分类模型类型的选择与不同hyperparameter值。函数使用贝叶斯优化选择模型及其hyperparameter值,并计算每个模型的交叉验证分类错误。优化完成后,fitcauto返回模式,在整个数据集上训练,预计最佳分类新数据。您可以使用预测和损失对象返回的函数模型分类新数据和计算测试集分类错误,分别。
使用fitcauto当你不确定分类器类型最适合您的数据。信息的替代方法来调优hyperparameters分类模型,明白了选择功能。
Mdl= fitcauto (资源描述,ResponseVarName)Mdl调谐hyperparameters。表资源描述包含预测变量和响应变量ResponseVarName响应变量的名称。
Mdl= fitcauto (___,名称,值)HyperparameterOptimizationOptions名称-值对参数来指定如何将贝叶斯优化执行。
(此外回报Mdl,OptimizationResults)= fitcauto (___)OptimizationResults,一个BayesianOptimization对象包含了模型选择的结果和hyperparameter调优的过程。
例子
自动选择分类器使用表格数据
使用fitcauto与优化hyperparameters自动选择一个分类模型,预测和响应数据存储在表中。
加载数据
加载carbig的数据集,其中包含测量汽车在1970年代末和1980年代初。
负载carbig
根据他们是否分类的汽车在美国。
起源=分类(cellstr(起源));起源= mergecats(起源,{“法国”,“日本”,“德国”,…“瑞典”,“意大利”,“英格兰”},“NotUSA”);
创建一个表包含预测变量加速度,位移等等,以及响应变量起源。
汽车=表(加速度、位移、马力、…Model_Year MPG,体重,起源);
对数据进行分区
分区数据分为训练集和测试集。使用大约80%的观测模型选择和hyperparameter调优过程,和20%的观察测试返回的最终模型的性能fitcauto。使用cvpartition分区的数据。
rng (“默认”)%数据分区的再现性c = cvpartition(起源、“坚持”,0.2);trainingIdx =培训(c);%训练集指数carsTrain =汽车(trainingIdx:);testIdx =测试(c);%测试集指数喀斯特岩溶=汽车(testIdx:);
运行fitcauto
通过训练数据fitcauto。默认情况下,fitcauto决定适当的模型类型,使用贝叶斯优化找到好的hyperparameter值,并返回一个训练模型Mdl最好的预期性能。此外,fitcauto提供了一个优化的情节和迭代的优化结果。如何解释这些结果的更多信息,见详细的显示。
希望这个过程需要一些时间。加快优化过程中,考虑指定优化并行运行,如果你有一个并行计算工具箱™许可证。为此,通过“HyperparameterOptimizationOptions”、结构(UseParallel,真的)来fitcauto作为一个名称-值对的论点。
Mdl = fitcauto (carsTrain,“起源”);
警告:建议您首先标准化数值预测当优化朴素贝叶斯的宽度参数。忽略这个警告如果你已经做到了。
探索学习者类型:合奏,然而,nb,支持向量机,树总迭代(MaxObjectiveEvaluations): 150总时间(MaxTime):正| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 1 |的| 0.14154 | 10.563 | 0.14154 | 0.14154 |合奏|方法:袋| | | | | | | | | NumLearningCycles: 201 | | | | | | | | | MinLeafSize: 7 |
| 2 |接受| 0.18269 | 0.57392 | 0.14154 | 0.14154 |资讯| NumNeighbors: 3 |
| 3 |接受| 0.23397 | 0.1264 | 0.14154 | 0.14154 |资讯| NumNeighbors: 91 |
| 4 |接受| 0.16308 | 12.867 | 0.14154 | 0.15468 |合奏|方法:LogitBoost | | | | | | | | | NumLearningCycles: 274 | | | | | | | | | MinLeafSize: 15 |
| 5 |接受| 0.20833 | 0.124 | 0.14154 | 0.15468 |资讯| NumNeighbors: 4 |
| 6 |接受| 0.22115 | 0.079641 | 0.14154 | 0.15468 |资讯| NumNeighbors: 28 |
| | 7日接受| 0.16923 | 0.20013 | 0.14154 | 0.15468 | |树MinLeafSize: 105 |
| 8 |接受| 0.37179 | 0.59222 | 0.14154 | 0.15468 |支持向量机| BoxConstraint: 0.022186 | | | | | | | | | KernelScale: 0.085527 |
| | 9日接受| 0.37179 | 0.11659 | 0.14154 | 0.15468 |支持向量机| BoxConstraint: 0.045899 | | | | | | | | | KernelScale: 0.0024758 |
| |接受10 | 0.24615 | 0.98386 | 0.14154 | 0.15468 | nb | DistributionNames:内核| | | | | | | | |宽度:1.1327 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 11日接受| 0.16923 | 0.079996 | 0.14154 | 0.15468 | |树MinLeafSize: 78 |
| | 12日接受| 0.26923 | 0.10923 | 0.14154 | 0.15468 |支持向量机| BoxConstraint: 11.063 | | | | | | | | | KernelScale: 15.114 |
最好13 | | | 0.12923 | 0.11568 | 0.12923 | 0.15468 | |树MinLeafSize: 3 |
| | 14日接受| 0.21154 | 0.084406 | 0.12923 | 0.15468 |资讯| NumNeighbors: 2 |
| | 15日接受| 0.14154 | 0.080022 | 0.12923 | 0.15294 | |树MinLeafSize: 1 |
| | 16日接受| 0.14769 | 0.092395 | 0.12923 | 0.15097 | |树MinLeafSize: 2 |
| | 17日接受| 0.14154 | 10.869 | 0.12923 | 0.14872 |合奏|方法:袋| | | | | | | | | NumLearningCycles: 208 | | | | | | | | | MinLeafSize: 10 |
| | 18日接受| 0.37179 | 0.12386 | 0.12923 | 0.14872 |支持向量机| BoxConstraint: 116.46 | | | | | | | | | KernelScale: 0.52908 |
| | 19日接受| 0.22769 | 0.15545 | 0.12923 | 0.14872 | nb | DistributionNames:正常| | | | | | | | |宽度:南|
| |接受20 | 0.22115 | 0.070813 | 0.12923 | 0.14872 |资讯| NumNeighbors: 8 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 21日接受| 0.37179 | 0.11553 | 0.12923 | 0.14872 |支持向量机| BoxConstraint: 45.341 | | | | | | | | | KernelScale: 0.76949 |
| | 22日接受| 0.12923 | 0.080362 | 0.12923 | 0.14194 | |树MinLeafSize: 3 |
| 23最好| | 0.10154 | 0.079656 | 0.10154 | 0.13213 | |树MinLeafSize: 5 |
| | 24日接受| 0.22769 | 0.2529 | 0.10154 | 0.13213 | nb | DistributionNames:内核| | | | | | | | |宽度:0.42571 |
| | 25日接受| 0.11385 | 0.080085 | 0.10154 | 0.1289 | |树MinLeafSize: 11 |
| | 26日接受| 0.13782 | 0.092228 | 0.10154 | 0.1289 |支持向量机| BoxConstraint: 9.7286 | | | | | | | | | KernelScale: 293.41 |
| | 27日接受| 0.22769 | 0.073346 | 0.10154 | 0.1289 | nb | DistributionNames:正常| | | | | | | | |宽度:南|
| | 28日接受| 0.21795 | 0.074914 | 0.10154 | 0.1289 |资讯| NumNeighbors: 42 |
| | 29日接受| 0.24308 | 0.27621 | 0.10154 | 0.1289 | nb | DistributionNames:内核| | | | | | | | |宽度:4.4662 |
| | 30日接受| 0.16308 | 12.328 | 0.10154 | 0.1289 |合奏|方法:LogitBoost | | | | | | | | | NumLearningCycles: 267 | | | | | | | | | MinLeafSize: 131 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 31日接受| 0.24308 | 0.22334 | 0.10154 | 0.1289 | nb | DistributionNames:内核| | | | | | | | |宽度:0.66296 |
32 | |接受| 0.22115 | 0.066711 | 0.10154 | 0.1289 |资讯| NumNeighbors: 28 |
| | 33接受| 0.13846 | 0.079934 | 0.10154 | 0.12465 | |树MinLeafSize: 25 |
| | 34接受| 0.21474 | 0.085438 | 0.10154 | 0.12465 |资讯| NumNeighbors: 14 |
35岁| |接受| 0.16615 | 10.05 | 0.10154 | 0.12465 |合奏|方法:LogitBoost | | | | | | | | | NumLearningCycles: 215 | | | | | | | | | MinLeafSize: 13 |
36 | |接受| 0.14154 | 12.866 | 0.10154 | 0.12465 |合奏|方法:袋| | | | | | | | | NumLearningCycles: 254 | | | | | | | | | MinLeafSize: 31 |
| | 37接受| 0.22769 | 0.070251 | 0.10154 | 0.12465 | nb | DistributionNames:正常| | | | | | | | |宽度:南|
38 | |接受| 0.37179 | 0.077924 | 0.10154 | 0.12465 |支持向量机| BoxConstraint: 0.0073633 | | | | | | | | | KernelScale: 774.33 |
39 | |接受| 0.16923 | 0.068411 | 0.10154 | 0.12552 | |树MinLeafSize: 82 |
40 | |接受| 0.20833 | 0.064563 | 0.10154 | 0.12552 |资讯| NumNeighbors: 4 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 41接受| 0.16308 | 12.932 | 0.10154 | 0.12552 |合奏|方法:LogitBoost | | | | | | | | | NumLearningCycles: 274 | | | | | | | | | MinLeafSize: 150 |
42 | |接受| 0.22462 | 0.24365 | 0.10154 | 0.12552 | nb | DistributionNames:内核| | | | | | | | |宽度:121.64 |
43 | |接受| 0.20308 | 11.027 | 0.10154 | 0.12552 |合奏|方法:袋| | | | | | | | | NumLearningCycles: 229 | | | | | | | | | MinLeafSize: 117 |
| | 44接受| 0.16923 | 0.069279 | 0.10154 | 0.12291 | |树MinLeafSize: 84 |
| |接受45 | 0.22769 | 0.078716 | 0.10154 | 0.12291 | nb | DistributionNames:正常| | | | | | | | |宽度:南|
46 | |接受| 0.22769 | 0.068458 | 0.10154 | 0.12291 | nb | DistributionNames:正常| | | | | | | | |宽度:南|
| | 47接受| 0.16615 | 9.9849 | 0.10154 | 0.12291 |合奏|方法:LogitBoost | | | | | | | | | NumLearningCycles: 212 | | | | | | | | | MinLeafSize: 49 |
48 | |接受| 0.14769 | 14.541 | 0.10154 | 0.12291 |合奏|方法:袋| | | | | | | | | NumLearningCycles: 288 | | | | | | | | | MinLeafSize: 25 |
| | 49接受| 0.23077 | 0.21379 | 0.10154 | 0.12291 | nb | DistributionNames:内核| | | | | | | | |宽度:73.249 |
接受50 | | | 0.37179 | 0.091937 | 0.10154 | 0.12291 |支持向量机| BoxConstraint: 0.0036501 | | | | | | | | | KernelScale: 1.0504 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 51接受| 0.21474 | 0.098808 | 0.10154 | 0.12291 |支持向量机| BoxConstraint: 64.859 | | | | | | | | | KernelScale: 23.779 |
| |接受52 | 0.37179 | 0.10415 | 0.10154 | 0.12291 |支持向量机| BoxConstraint: 0.16622 | | | | | | | | | KernelScale: 4.4901 |
53 | |接受| 0.25846 | 0.2444 | 0.10154 | 0.12291 | nb | DistributionNames:内核| | | | | | | | |宽度:0.079498 |
54 | |接受| 0.21154 | 0.074835 | 0.10154 | 0.12291 |资讯| NumNeighbors: 2 |
| |接受55 | 0.13846 | 12.173 | 0.10154 | 0.12291 |合奏|方法:袋| | | | | | | | | NumLearningCycles: 234 | | | | | | | | | MinLeafSize: 8 |
| 56 |接受| 0.36538 | 0.10958 | 0.10154 | 0.12291 |支持向量机| BoxConstraint: 271.6 | | | | | | | | | KernelScale: 2.743 |
57 | |接受| 0.16615 | 11.482 | 0.10154 | 0.12291 |合奏|方法:LogitBoost | | | | | | | | | NumLearningCycles: 248 | | | | | | | | | MinLeafSize: 117 |
58 | |接受| 0.37179 | 0.095419 | 0.10154 | 0.12291 |支持向量机| BoxConstraint: 7.5785 | | | | | | | | | KernelScale: 0.0066815 |
| | 59接受| 0.37179 | 0.097469 | 0.10154 | 0.12291 |支持向量机| BoxConstraint: 0.0017765 | | | | | | | | | KernelScale: 0.86786 |
| | 60接受| 0.37179 | 0.11284 | 0.10154 | 0.12291 |支持向量机| BoxConstraint: 0.011465 | | | | | | | | | KernelScale: 0.02747 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 61 | |接受0.11692 | 0.077515 | 0.10154 | 0.12239 | |树MinLeafSize: 12 |
| 62 |接受| 0.29167 | 0.091617 | 0.10154 | 0.12239 |支持向量机| BoxConstraint: 11.939 | | | | | | | | | KernelScale: 11.002 |
| 63 |接受| 0.21795 | 0.067171 | 0.10154 | 0.12239 |资讯| NumNeighbors: 6 |
| 64 |接受| 0.18269 | 0.062887 | 0.10154 | 0.12239 |资讯| NumNeighbors: 3 |
| 65 |接受| 0.12923 | 0.075704 | 0.10154 | 0.11989 | |树MinLeafSize: 3 |
| 66 |接受| 0.16923 | 0.065889 | 0.10154 | 0.12048 | |树MinLeafSize: 56 |
| 67 |接受| 0.1891 | 0.068215 | 0.10154 | 0.12048 |资讯| NumNeighbors: 1 |
| 68 |接受| 0.13231 | 14.135 | 0.10154 | 0.12048 |合奏|方法:袋| | | | | | | | | NumLearningCycles: 270 | | | | | | | | | MinLeafSize: 4 |
| 69 |接受| 0.22769 | 0.060902 | 0.10154 | 0.12048 | nb | DistributionNames:正常| | | | | | | | |宽度:南|
| 70 |接受| 0.37231 | 0.24511 | 0.10154 | 0.12048 | nb | DistributionNames:内核| | | | | | | | |宽度:1629.5 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 71 | |接受0.16923 | 0.069135 | 0.10154 | 0.11947 | |树MinLeafSize: 61 |
| 72 |接受| 0.22769 | 0.060552 | 0.10154 | 0.11947 | nb | DistributionNames:正常| | | | | | | | |宽度:南|
| 73 |接受| 0.16308 | 10.133 | 0.10154 | 0.11947 |合奏|方法:LogitBoost | | | | | | | | | NumLearningCycles: 217 | | | | | | | | | MinLeafSize: 70 |
| 74 |接受| 0.13231 | 13.055 | 0.10154 | 0.11947 |合奏|方法:袋| | | | | | | | | NumLearningCycles: 257 | | | | | | | | | MinLeafSize: 2 |
| 75 |接受| 0.21474 | 0.069312 | 0.10154 | 0.11947 |资讯| NumNeighbors: 49 |
| 76 |接受| 0.13846 | 0.083714 | 0.10154 | 0.1214 | |树MinLeafSize: 25 |
| 77 |接受| 0.12 | 0.069041 | 0.10154 | 0.11923 | |树MinLeafSize: 6 |
| 78 |接受| 0.10154 | 0.077399 | 0.10154 | 0.1118 | |树MinLeafSize: 5 |
| 79 |接受| 0.12 | 0.076269 | 0.10154 | 0.11007 | |树MinLeafSize: 4 |
| 80 |接受| 0.10154 | 0.09325 | 0.10154 | 0.10878 | |树MinLeafSize: 5 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 81 | |接受0.10154 | 0.074541 | 0.10154 | 0.10737 | |树MinLeafSize: 5 |
| 82 |接受| 0.12 | 0.069929 | 0.10154 | 0.1063 | |树MinLeafSize: 4 |
| 83 |接受| 0.10154 | 0.072591 | 0.10154 | 0.10514 | |树MinLeafSize: 5 |
| 84 |接受| 0.10154 | 0.071254 | 0.10154 | 0.10366 | |树MinLeafSize: 5 |
| 85 |接受| 0.10154 | 0.077378 | 0.10154 | 0.10361 | |树MinLeafSize: 5 |
| 86 |接受| 0.10154 | 0.070643 | 0.10154 | 0.10348 | |树MinLeafSize: 5 |
| 87 |接受| 0.12 | 0.070551 | 0.10154 | 0.10286 | |树MinLeafSize: 4 |
| 88 |接受| 0.12 | 0.078438 | 0.10154 | 0.1029 | |树MinLeafSize: 6 |
| 89 |接受| 0.10154 | 0.072996 | 0.10154 | 0.10262 | |树MinLeafSize: 5 |
| 90 |接受| 0.10154 | 0.078162 | 0.10154 | 0.10246 | |树MinLeafSize: 5 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 91 | |接受0.10154 | 0.07038 | 0.10154 | 0.10267 | |树MinLeafSize: 5 |
| 92 |接受| 0.10154 | 0.07752 | 0.10154 | 0.10257 | |树MinLeafSize: 5 |
| 93 |接受| 0.10154 | 0.076155 | 0.10154 | 0.10217 | |树MinLeafSize: 5 |
| 94 |接受| 0.10154 | 0.075983 | 0.10154 | 0.10221 | |树MinLeafSize: 5 |
| 95 |接受| 0.10154 | 0.07407 | 0.10154 | 0.10211 | |树MinLeafSize: 5 |
| 96 |接受| 0.10154 | 0.080633 | 0.10154 | 0.10207 | |树MinLeafSize: 5 |
| 97 |接受| 0.10154 | 0.086164 | 0.10154 | 0.10205 | |树MinLeafSize: 5 |
| 98 |接受| 0.10154 | 0.080264 | 0.10154 | 0.10191 | |树MinLeafSize: 5 |
| 99 |接受| 0.12308 | 0.076015 | 0.10154 | 0.1021 | |树MinLeafSize: 17 |
| 100 |接受| 0.10154 | 0.074579 | 0.10154 | 0.1019 | |树MinLeafSize: 5 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 101 | |接受0.10154 | 0.072077 | 0.10154 | 0.10186 | |树MinLeafSize: 5 |
| 102 |接受| 0.10154 | 0.071287 | 0.10154 | 0.10199 | |树MinLeafSize: 5 |
| 103 |接受| 0.10154 | 0.080003 | 0.10154 | 0.10186 | |树MinLeafSize: 5 |
| 104 |接受| 0.12 | 0.07462 | 0.10154 | 0.10189 | |树MinLeafSize: 13 |
| 105 |接受| 0.10154 | 0.077244 | 0.10154 | 0.10198 | |树MinLeafSize: 5 |
| 106 |接受| 0.12 | 0.080302 | 0.10154 | 0.10173 | |树MinLeafSize: 4 |
| 107 |接受| 0.10154 | 0.071858 | 0.10154 | 0.10183 | |树MinLeafSize: 5 |
| 108 |接受| 0.10154 | 0.076013 | 0.10154 | 0.10166 | |树MinLeafSize: 5 |
| 109 |接受| 0.10154 | 0.079106 | 0.10154 | 0.10164 | |树MinLeafSize: 5 |
| 110 |接受| 0.10154 | 0.075807 | 0.10154 | 0.10172 | |树MinLeafSize: 5 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 111 | |接受0.10154 | 0.076903 | 0.10154 | 0.10159 | |树MinLeafSize: 5 |
| 112 |接受| 0.10154 | 0.077409 | 0.10154 | 0.10163 | |树MinLeafSize: 5 |
| 113 |接受| 0.10154 | 0.069569 | 0.10154 | 0.10165 | |树MinLeafSize: 5 |
| 114 |接受| 0.12308 | 0.076744 | 0.10154 | 0.10156 | |树MinLeafSize: 18 |
| 115 |接受| 0.19551 | 0.097443 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 1.2977 | | | | | | | | | KernelScale: 33.654 |
| 116 |接受| 0.26603 | 0.099474 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 0.082725 | | | | | | | | | KernelScale: 139.98 |
| 117 |接受| 0.37179 | 0.077589 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 0.0065156 | | | | | | | | | KernelScale: 559.53 |
| 118 |接受| 0.15385 | 0.08281 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 8.5337 | | | | | | | | | KernelScale: 482.07 |
| 119 |接受| 0.20833 | 0.074271 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 5.1729 | | | | | | | | | KernelScale: 980.38 |
| 120 |接受| 0.17949 | 0.081488 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 6.8028 | | | | | | | | | KernelScale: 578.14 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 121 | |接受0.22115 | 0.076901 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 0.19345 | | | | | | | | | KernelScale: 367.75 |
| 122 |接受| 0.17308 | 0.076171 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 10.344 | | | | | | | | | KernelScale: 679.05 |
| 123 |接受| 0.125 | 0.09187 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 72.626 | | | | | | | | | KernelScale: 228.42 |
| 124 |接受| 0.13462 | 0.15746 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 586.5 | | | | | | | | | KernelScale: 176.02 |
| 125 |接受| 0.13462 | 0.093366 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 83.771 | | | | | | | | | KernelScale: 117.21 |
| 126 |接受| 0.22436 | 0.10124 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 962.52 | | | | | | | | | KernelScale: 20.898 |
| 127 |接受| 0.15705 | 0.1133 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 29.038 | | | | | | | | | KernelScale: 66.563 |
| 128 |接受| 0.16346 | 0.10388 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 156.8 | | | | | | | | | KernelScale: 62.775 |
| 129 |接受| 0.13782 | 0.087555 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 94.357 | | | | | | | | | KernelScale: 932.27 |
| 130 |接受| 0.12821 | 0.093318 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 25.982 | | | | | | | | | KernelScale: 247.06 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 131 | |接受0.13462 | 0.08648 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 16.818 | | | | | | | | | KernelScale: 352.46 |
| 132 |接受| 0.14103 | 0.090667 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 15.817 | | | | | | | | | KernelScale: 130.15 |
| 133 |接受| 0.12179 | 0.089208 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 74.054 | | | | | | | | | KernelScale: 555.66 |
| 134 |接受| 0.21474 | 0.082634 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 0.80097 | | | | | | | | | KernelScale: 239.08 |
| 135 |接受| 0.125 | 0.088947 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 47.244 | | | | | | | | | KernelScale: 214.51 |
| 136 |接受| 0.13141 | 0.07954 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 13.389 | | | | | | | | | KernelScale: 145.55 |
| 137 |接受| 0.13782 | 0.091167 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 60.755 | | | | | | | | | KernelScale: 131.88 |
| 138 |接受| 0.125 | 0.087338 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 11.454 | | | | | | | | | KernelScale: 176.64 |
| 139 |接受| 0.125 | 0.080567 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 11.85 | | | | | | | | | KernelScale: 160.69 |
| 140 |接受| 0.16667 | 0.083852 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 11.155 | | | | | | | | | KernelScale: 652.28 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | Iter | Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | | | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 141 | |接受0.125 | 0.089769 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 10.933 | | | | | | | | | KernelScale: 172.97 |
| 142 |接受| 0.21474 | 0.1003 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 16.172 | | | | | | | | | KernelScale: 22.373 |
| 143 |接受| 0.13782 | 0.0833 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 7.6332 | | | | | | | | | KernelScale: 178.51 |
| 144 |接受| 0.13462 | 0.10562 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 6.7646 | | | | | | | | | KernelScale: 160.72 |
| 145 |接受| 0.14103 | 0.076631 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 6.8617 | | | | | | | | | KernelScale: 189.52 |
| 146 |接受| 0.15385 | 0.082538 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 6.0384 | | | | | | | | | KernelScale: 332.89 |
| 147 |接受| 0.14423 | 0.077025 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 5.7255 | | | | | | | | | KernelScale: 182.19 |
| 148 |接受| 0.13782 | 0.089308 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 70.212 | | | | | | | | | KernelScale: 818.46 |
| 149 |接受| 0.14103 | 0.08348 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 5.493 | | | | | | | | | KernelScale: 230.68 |
| 150 |接受| 0.13782 | 0.079744 | 0.10154 | 0.10156 |支持向量机| BoxConstraint: 5.3564 | | | | | | | | | KernelScale: 111.96 |
__________________________________________________________优化完成。总迭代:150总运行时间:835.2167秒训练和验证总时间:193.4979秒最佳观察学习者是一个树模型:MinLeafSize: 5观察验证损失:0.10154训练和验证时间:0.079656秒最佳估计学习者(返回模型)是一个树模型:MinLeafSize: 5估计验证损失:0.10156预计培训和验证时间:0.076205秒fitcauto显示文档
最终的模型返回的fitcauto对应的最佳估计的学习者。模型,函数返回之前使用整个训练数据(通过它carsTrain),上市学习者(或模型)类型,显示hyperparameter值。
评估测试集的性能
评估模型在测试集上的性能。
testAccuracy = 1 -损失(Mdl、喀斯特岩溶“起源”)
testAccuracy = 0.9143
喀斯特岩溶confusionchart (carsTest.Origin,预测(Mdl))
使用矩阵数据自动选择分类器
使用fitcauto与优化hyperparameters自动选择一个分类模型,预测和响应数据存储在独立的变量。
加载数据
加载humanactivity数据集。该数据集包含24075 5观察物理人类活动:(1),(2),(3),(4),(5)和跳舞。每个观察60特性提取加速度数据衡量智能手机加速计传感器。的变量的壮举包含60的预测数据矩阵特性为24075年的观察,和响应变量actid包含活动id观测的整数。
负载humanactivity
对数据进行分区
分区数据分为训练集和测试集。使用90%的观察选择一个模型,和10%的观察来验证返回的最终模型fitcauto。使用cvpartition保留10%的观测数据进行测试。
rng (“默认”)%的再现性分区c = cvpartition (actid“坚持”,0.10);trainingIndices =培训(c);%训练集的指标XTrain =壮举(trainingIndices:);YTrain = actid (trainingIndices);testIndices =测试(c);%测试集的指标XTest =壮举(testIndices:);欧美= actid (testIndices);
运行fitcauto
通过训练数据fitcauto。默认情况下,fitcauto决定适当的模型(或学习)类型,使用贝叶斯优化为这些模型找到好的hyperparameter值,并返回一个训练有素的模型与最佳的预期性能。指定运行并行优化(需要并行计算工具箱™)。返回第二个输出OptimizationResults包含贝叶斯优化的细节。
希望这个模型选择过程需要一些时间。默认情况下,fitcauto提供了一个优化的情节和迭代的优化结果。如何解释这些结果的更多信息,见详细的显示。
选择=结构(“UseParallel”,真正的);[Mdl, OptimizationResults] = fitcauto (XTrain YTrain,“HyperparameterOptimizationOptions”、选择);
警告:建议您首先标准化数值预测当优化朴素贝叶斯的宽度参数。忽略这个警告如果你已经做到了。
开始平行池(parpool)使用“本地”概要文件…连接到平行池(工人数量:6)。复制目标函数工人……完成目标函数复制到工人。
探索学习者类型:合奏,然而,nb,支持向量机,树总迭代(MaxObjectiveEvaluations): 150总时间(MaxTime):正
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 1 | 6 |的| 0.28088 | 48.752 | 0.28088 | 0.28088 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.22686 | | | | | | | | | | KernelScale: 330.4 |
最好| 2 | 6 | | 0.036459 | 51.455 | 0.036459 | 0.036459 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 254 | | | | | | | | | | MinLeafSize: 1786 | | | | | | | | | | MaxNumSplits: 12 |
最好| 3 | 6 | | 0.025845 | 5.1379 | 0.025845 | 0.025845 | |树MinLeafSize: 59 |
最好| 4 | 6 | | 0.006415 | 60.999 | 0.006415 | 0.021738 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 214 | | | | | | | | | | MinLeafSize: 5 | | | | | | | | | | MaxNumSplits: 23 |
| 5 | 6 |接受| 0.025845 | 4.8823 | 0.006415 | 0.021738 | |树MinLeafSize: 59 |
| 6 | 6 |接受| 0.017768 | 5.4601 | 0.006415 | 0.021738 | |树MinLeafSize: 9 |
| 7 | 6 |接受| 0.050212 | 1.1024 | 0.006415 | 0.021738 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 8 | 6 |接受| 0.050212 | 0.64183 | 0.006415 | 0.021738 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 9 | 6 |接受| 0.019568 | 151.32 | 0.006415 | 0.021152 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 218 | | | | | | | | | | MinLeafSize: 2 | | | | | | | | | | MaxNumSplits: 63 |
| 10 | 6 |接受| 0.026537 | 165.42 | 0.006415 | 0.022035 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 264 | | | | | | | | | | MinLeafSize: 7 | | | | | | | | | | MaxNumSplits: 36 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 6 | 11日接受| 0.59166 | 29.107 | 0.006415 | 0.022035 | nb | DistributionNames:内核| | | | | | | | | |宽度:4.7212 e-14 |
| 12 | 6 |接受| 0.021645 | 50.626 | 0.006415 | 0.022122 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 243 | | | | | | | | | | MinLeafSize: 1247 | | | | | | | | | | MaxNumSplits: 45 |
| 13 | 6 |接受| 0.043567 | 24.583 | 0.006415 | 0.022122 |资讯| NumNeighbors: 144 |
| | 6 | 14日接受| 0.028844 | 22.503 | 0.006415 | 0.022122 |资讯| NumNeighbors: 18 |
15 | | 6 |接受| 0.04389 | 157.12 | 0.006415 | 0.022122 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.068467 | | | | | | | | | | KernelScale: 117.01 |
| 16 | 6 |接受| 0.024598 | 20.721 | 0.006415 | 0.022122 |资讯| NumNeighbors: 7 |
17 | | 6 |接受| 0.03009 | 20.969 | 0.006415 | 0.022122 |资讯| NumNeighbors: 27 |
18岁| | 6 |接受| 0.016753 | 6.5065 | 0.006415 | 0.021547 | |树MinLeafSize: 2 |
19 | | 6 |接受| 0.040059 | 4.3496 | 0.006415 | 0.022122 | |树MinLeafSize: 166 |
| 20 | 6 |接受| 0.060319 | 2.2673 | 0.006415 | 0.022122 | |树MinLeafSize: 1881 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 6 | 21日接受| 0.050212 | 0.97596 | 0.006415 | 0.022122 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| | 6 | 22日接受| 0.036552 | 20.775 | 0.006415 | 0.022122 |资讯| NumNeighbors: 67 |
| | 6 | 23日接受| 0.050212 | 0.55594 | 0.006415 | 0.022122 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| | 6 | 24日接受| 0.11076 | 36.229 | 0.006415 | 0.022122 |资讯| NumNeighbors: 2637 |
25 | | 6 |接受| 0.27884 | 66.582 | 0.006415 | 0.024532 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 287 | | | | | | | | | | MinLeafSize: 4344 | | | | | | | | | | MaxNumSplits: 48 |
| | 6 | 26日接受| 0.58127 | 31.861 | 0.006415 | 0.024532 | nb | DistributionNames:内核| | | | | | | | | |宽度:1.6293 e-06 |
| | 6 | 27日接受| 0.01583 | 5.7511 | 0.006415 | 0.020656 | |树MinLeafSize: 1 |
| | 6 | 28日接受| 0.069319 | 1.806 | 0.006415 | 0.02077 | |树MinLeafSize: 2284 |
| | 6 | 29日接受| 0.59166 | 352.55 | 0.006415 | 0.02077 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 790.4 | | | | | | | | | | KernelScale: 0.014348 |
| | 6 | 30日接受| 0.043336 | 3.7865 | 0.006415 | 0.020133 | |树MinLeafSize: 432 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 6 | 31日接受| 0.10555 | 34.294 | 0.006415 | 0.020133 |资讯| NumNeighbors: 2430 |
32 | | 6 |接受| 0.021276 | 4.582 | 0.006415 | 0.018661 | |树MinLeafSize: 17 |
| | 5 | 33接受| 0.030829 | 159.57 | 0.006415 | 0.018642 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 288 | | | | | | | | | | MinLeafSize: 45 | | | | | | | | | | MaxNumSplits: 23日| | | 5 | 34接受| 0.014307 | 49.903 | 0.006415 | 0.018642 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 234 | | | | | | | | | | MinLeafSize: 587 | | | | | | | | | | MaxNumSplits: 11 |
35岁| | 5 |接受| 0.050212 | 1.025 | 0.006415 | 0.018642 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
36 | | 6 |接受| 0.74165 | 24.131 | 0.006415 | 0.018661 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 217 | | | | | | | | | | MinLeafSize: 8856 | | | | | | | | | | MaxNumSplits: 36 |
| | 6 | 37接受| 0.4226 | 558.84 | 0.006415 | 0.018661 | nb | DistributionNames:内核| | | | | | | | | |宽度:72.906 |
38 | | 6 |接受| 0.57615 | 317.96 | 0.006415 | 0.018661 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 2.2347 | | | | | | | | | | KernelScale: 0.16176 |
39 | | 6 |接受| 0.59166 | 26.64 | 0.006415 | 0.018661 | nb | DistributionNames:内核| | | | | | | | | |宽度:1.191 e-07 |
40 | | 6 |接受| 0.087087 | 30.271 | 0.006415 | 0.018661 |资讯| NumNeighbors: 1634 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 41 | 6 |接受| 0.73985 | 551.47 | 0.006415 | 0.018661 | nb | DistributionNames:内核| | | | | | | | | |宽度:1055.8 |
42 | | 4 |接受| 0.025983 | 146.08 | 0.006415 | 0.018661 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 234 | | | | | | | | | | MinLeafSize: 73 | | | | | | | | | | MaxNumSplits: 43 | | 43 | 4 |接受| 0.02566 | 146.73 | 0.006415 | 0.018661 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 234 | | | | | | | | | | MinLeafSize: 73 | | | | | | | | | | MaxNumSplits: 43 | | | 4 | 44接受| 0.024922 | 124.65 | 0.006415 | 0.018661 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 206 | | | | | | | | | | MinLeafSize: 5 | | | | | | | | | | MaxNumSplits: 39 |
45 | | 6 |接受| 0.025891 | 23.638 | 0.006415 | 0.018661 |资讯| NumNeighbors: 6 |
46 | | 5 |接受| 0.025891 | 24.038 | 0.006415 | 0.018661 |资讯| NumNeighbors: 6 | | 47 | 5 |接受| 0.025891 | 23.646 | 0.006415 | 0.018661 |资讯| NumNeighbors: 6 |
48 | | 6 |接受| 0.03009 | 188.48 | 0.006415 | 0.018661 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 299 | | | | | | | | | | MinLeafSize: 31日| | | | | | | | | | MaxNumSplits: 25 |
| | 6 | 49接受| 0.017214 | 6.0889 | 0.006415 | 0.017935 | |树MinLeafSize: 4 |
50 | | 6 |接受| 0.01726 | 5.6027 | 0.006415 | 0.017303 | |树MinLeafSize: 5 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 6 | 51接受| 0.037244 | 158.2 | 0.006415 | 0.017303 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 5.9571 | | | | | | | | | | KernelScale: 840.87 |
52 | | 6 |接受| 0.046474 | 190.01 | 0.006415 | 0.017303 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 2.9119 | | | | | | | | | | KernelScale: 12.771 |
53 | | 6 |接受| 0.032398 | 155.47 | 0.006415 | 0.017303 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 253 | | | | | | | | | | MinLeafSize: 14 | | | | | | | | | | MaxNumSplits: 22 |
54 | | 6 |接受| 0.054135 | 3.0156 | 0.006415 | 0.017093 | |树MinLeafSize: 783 |
55 | | 6 |接受| 0.049797 | 28.421 | 0.006415 | 0.017093 |资讯| NumNeighbors: 331 |
56 | | 6 |接受| 0.046566 | 27.524 | 0.006415 | 0.017093 |资讯| NumNeighbors: 193 |
57 | | 6 |接受| 0.36307 | 711.57 | 0.006415 | 0.017093 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.0011107 | | | | | | | | | | KernelScale: 0.80966 |
58 | | 6 |接受| 0.022706 | 23.417 | 0.006415 | 0.017093 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 1.3505 | | | | | | | | | | KernelScale: 127.55 |
59 | | 6 |接受| 0.028798 | 4.1232 | 0.006415 | 0.01733 | |树MinLeafSize: 84 |
60 | | 6 |接受| 0.041351 | 28.037 | 0.006415 | 0.01733 |资讯| NumNeighbors: 124 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 61 | |接受| 0.030044 | 26.265 | 0.006415 | 0.01733 |资讯| NumNeighbors: 26 |
| 62 | 6 |接受| 0.11838 | 284.42 | 0.006415 | 0.01733 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.0027874 | | | | | | | | | | KernelScale: 33.944 |
| 63 | 6 |接受| 0.47116 | 54.038 | 0.006415 | 0.01733 | nb | DistributionNames:内核| | | | | | | | | |宽度:4.7553 e-05 |
| 64 | 6 |接受| 0.26574 | 104.86 | 0.006415 | 0.01733 | nb | DistributionNames:内核| | | | | | | | | |宽度:0.0011441 |
| 65 | 6 |接受| 0.050212 | 0.72243 | 0.006415 | 0.01733 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 66 | 6 |接受| 0.01726 | 5.6362 | 0.006415 | 0.016846 | |树MinLeafSize: 5 |
| 67 | 6 |接受| 0.077072 | 268.17 | 0.006415 | 0.016846 | nb | DistributionNames:内核| | | | | | | | | |宽度:0.026902 |
| 68 | 6 |接受| 0.031613 | 25.909 | 0.006415 | 0.016846 |资讯| NumNeighbors: 33 |
| 69 | 6 |接受| 0.02003 | 92.379 | 0.006415 | 0.016846 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 609.47 | | | | | | | | | | KernelScale: 39.88 |
| 70 | 6 |接受| 0.1145 | 92.795 | 0.006415 | 0.016846 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 292 | | | | | | | | | | MinLeafSize: 3870 | | | | | | | | | | MaxNumSplits: 33 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 71 | |接受| 0.012968 | 53.299 | 0.006415 | 0.016846 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 208 | | | | | | | | | | MinLeafSize: 5 | | | | | | | | | | MaxNumSplits: 10 |
| 72 | 6 |接受| 0.011999 | 53.54 | 0.006415 | 0.016846 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 215 | | | | | | | | | | MinLeafSize: 5 | | | | | | | | | | MaxNumSplits: 11 |
| 73 | 6 |接受| 0.011999 | 50.887 | 0.006415 | 0.012076 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 205 | | | | | | | | | | MinLeafSize: 2 | | | | | | | | | | MaxNumSplits: 11 |
| 74 | 6 |接受| 0.039921 | 40.808 | 0.006415 | 0.012733 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 200 | | | | | | | | | | MinLeafSize: 1921 | | | | | | | | | | MaxNumSplits: 11 |
| 75 | 6 |接受| 0.04232 | 98.684 | 0.006415 | 0.012754 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 220 | | | | | | | | | | MinLeafSize: 1495 | | | | | | | | | | MaxNumSplits: 11 |
| 76 | 6 |接受| 0.094702 | 397.88 | 0.006415 | 0.012754 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 671.76 | | | | | | | | | | KernelScale: 4.6418 |
| 77 | 6 |接受| 0.065165 | 44.801 | 0.006415 | 0.013179 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 233 | | | | | | | | | | MinLeafSize: 2586 | | | | | | | | | | MaxNumSplits: 35 |
| 78 | 6 |接受| 0.22503 | 164.64 | 0.006415 | 0.013179 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 57.71 | | | | | | | | | | KernelScale: 2.0632 |
| 79 | 6 |接受| 0.03069 | 44.42 | 0.006415 | 0.013027 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 213 | | | | | | | | | | MinLeafSize: 1619 | | | | | | | | | | MaxNumSplits: 95 |
| 80 | 6 |接受| 0.11459 | 71.56 | 0.006415 | 0.012064 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 212 | | | | | | | | | | MinLeafSize: 2669 | | | | | | | | | | MaxNumSplits: 31 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 81 | |接受| 0.044582 | 41.462 | 0.006415 | 0.013176 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 207 | | | | | | | | | | MinLeafSize: 2211 | | | | | | | | | | MaxNumSplits: 56 |
| 82 | 6 |接受| 0.014722 | 223.7 | 0.006415 | 0.013176 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 832.84 | | | | | | | | | | KernelScale: 392.65 |
| 83 | 6 |接受| 0.018322 | 23.34 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 322.92 | | | | | | | | | | KernelScale: 542.76 |
| 84 | 6 |接受| 0.016984 | 28.833 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 727.84 | | | | | | | | | | KernelScale: 558.25 |
| 85 | 6 |接受| 0.59166 | 2135.3 | 0.006415 | 0.013176 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.045413 | | | | | | | | | | KernelScale: 0.0034709 |
| 86 | 6 |接受| 0.012461 | 39.005 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 806.52 | | | | | | | | | | KernelScale: 244.64 |
| 87 | 6 |接受| 0.016753 | 22.649 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 173.38 | | | | | | | | | | KernelScale: 329.41 |
| 88 | 6 |接受| 0.016845 | 28.292 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 242.37 | | | | | | | | | | KernelScale: 62.644 |
| 89 | 6 |接受| 0.016799 | 20.771 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 80.674 | | | | | | | | | | KernelScale: 242.97 |
| 90 | 6 |接受| 0.041259 | 175.27 | 0.006415 | 0.013176 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 2.0147 | | | | | | | | | | KernelScale: 549.95 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 91 | |接受| 0.017953 | 19.778 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 63.367 | | | | | | | | | | KernelScale: 263.72 |
| 92 | 6 |接受| 0.019568 | 19.245 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 55.612 | | | | | | | | | | KernelScale: 344.11 |
| 93 | 6 |接受| 0.016061 | 19.511 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 60.019 | | | | | | | | | | KernelScale: 185.49 |
| 94 | 6 |接受| 0.11847 | 149.5 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 770.37 | | | | | | | | | | KernelScale: 3.1188 |
| 95 | 6 |接受| 0.017953 | 18.428 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 43.94 | | | | | | | | | | KernelScale: 234.89 |
| 96 | 6 |接受| 0.025106 | 25.204 | 0.006415 | 0.013176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 2.1294 | | | | | | | | | | KernelScale: 237.71 |
| 97 | 6 |接受| 0.011676 | 70.358 | 0.006415 | 0.012446 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 283 | | | | | | | | | | MinLeafSize: 4 | | | | | | | | | | MaxNumSplits: 10 |
| 98 | 6 |接受| 0.031983 | 37.179 | 0.006415 | 0.012446 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 1.832 | | | | | | | | | | KernelScale: 449.73 |
| 99 | 6 |接受| 0.0097379 | 76.639 | 0.006415 | 0.011402 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 299 | | | | | | | | | | MinLeafSize: 4 | | | | | | | | | | MaxNumSplits: 12 |
| 100 | 6 |接受| 0.22416 | 684.65 | 0.006415 | 0.011402 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 632.44 | | | | | | | | | | KernelScale: 1.8647 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 101 | |接受| 0.11478 | 87.263 | 0.006415 | 0.011913 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 272 | | | | | | | | | | MinLeafSize: 3176 | | | | | | | | | | MaxNumSplits: 54 |
| 102 | 6 |接受| 0.0081687 | 75.177 | 0.006415 | 0.01045 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 291 | | | | | | | | | | MinLeafSize: 6 | | | | | | | | | | MaxNumSplits: 14 |
| 103 | 6 |接受| 0.010753 | 70.01 | 0.006415 | 0.010258 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 284 | | | | | | | | | | MinLeafSize: 1 | | | | | | | | | | MaxNumSplits: 11 |
| 104 | 6 |接受| 0.36076 | 77 | 0.006415 | 0.010258 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0054235 | | | | | | | | | | KernelScale: 149.67 |
| 105 | 6 |接受| 0.0084456 | 62.748 | 0.006415 | 0.0092051 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 214 | | | | | | | | | | MinLeafSize: 3 | | | | | | | | | | MaxNumSplits: 16 |
| 106 | 6 |接受| 0.012738 | 32.34 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 529.51 | | | | | | | | | | KernelScale: 161.83 |
| 107 | 6 |接受| 0.031521 | 41.482 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.6738 | | | | | | | | | | KernelScale: 289.2 |
| 108 | 6 |接受| 0.021368 | 38.604 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 567.35 | | | | | | | | | | KernelScale: 36.573 |
| 109 | 6 |接受| 0.050212 | 0.59557 | 0.006415 | 0.0092051 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 110 | 6 |接受| 0.57883 | 127.15 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0011506 | | | | | | | | | | KernelScale: 211.98 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 111 | |接受| 0.050212 | 0.685 | 0.006415 | 0.0092051 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 112 | 6 |接受| 0.029583 | 33.504 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.49417 | | | | | | | | | | KernelScale: 209.72 |
| 113 | 6 |接受| 0.012138 | 41.159 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 967.85 | | | | | | | | | | KernelScale: 153.85 |
| 114 | 6 |接受| 0.030921 | 38.482 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.57771 | | | | | | | | | | KernelScale: 262.15 |
| 115 | 6 |接受| 0.1295 | 52.128 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.35331 | | | | | | | | | | KernelScale: 329.77 |
| 116 | 6 |接受| 0.028475 | 33.553 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.37306 | | | | | | | | | | KernelScale: 157.01 |
| 117 | 6 |接受| 0.050212 | 0.62316 | 0.006415 | 0.0092051 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 118 | 6 |接受| 0.030737 | 37 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.37996 | | | | | | | | | | KernelScale: 204.24 |
| 119 | 6 |接受| 0.021229 | 36.97 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 803.51 | | | | | | | | | | KernelScale: 38.271 |
| 120 | 6 |接受| 0.015184 | 24.004 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 119.72 | | | | | | | | | | KernelScale: 145.99 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 121 | |接受| 0.06955 | 101.38 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 39.152 | | | | | | | | | | KernelScale: 8.5572 |
| 122 | 6 |接受| 0.028291 | 32.637 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.32264 | | | | | | | | | | KernelScale: 134.73 |
| 123 | 6 |接受| 0.041951 | 51.65 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.28203 | | | | | | | | | | KernelScale: 237.1 |
| 124 | 6 |接受| 0.039921 | 216.38 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.049329 | | | | | | | | | | KernelScale: 190.24 |
| 125 | 6 |接受| 0.048828 | 91.888 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 180.12 | | | | | | | | | | KernelScale: 12.235 |
| 126 | 6 |接受| 0.030644 | 38.563 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.25725 | | | | | | | | | | KernelScale: 171.19 |
| 127 | 6 |接受| 0.029537 | 37.409 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.25269 | | | | | | | | | | KernelScale: 145.85 |
| 128 | 6 |接受| 0.02949 | 31.222 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.24034 | | | | | | | | | | KernelScale: 59.755 |
| 129 | 6 |接受| 0.029537 | 130.19 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 76.533 | | | | | | | | | | KernelScale: 22.982 |
| 130 | 6 |接受| 0.094702 | 174.14 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.043666 | | | | | | | | | | KernelScale: 25.411 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 131 | |接受| 0.037382 | 46.207 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.23867 | | | | | | | | | | KernelScale: 204.62 |
| 132 | 6 |接受| 0.022152 | 40.588 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 887.62 | | | | | | | | | | KernelScale: 32.987 |
| 133 | 6 |接受| 0.032629 | 32.651 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.22511 | | | | | | | | | | KernelScale: 52.294 |
| 134 | 6 |接受| 0.02806 | 131.12 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.20346 | | | | | | | | | | KernelScale: 122.85 |
| 135 | 6 |接受| 0.59166 | 3480 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 658.37 | | | | | | | | | | KernelScale: 0.0016161 |
| 136 | 6 |接受| 0.59166 | 3481.3 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 658.37 | | | | | | | | | | KernelScale: 0.0016161 |
| 137 | 6 |接受| 0.032121 | 44.172 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.20648 | | | | | | | | | | KernelScale: 162.33 |
| 138 | 6 |接受| 0.30755 | 71.9 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.015886 | | | | | | | | | | KernelScale: 120.23 |
| 139 | 6 |接受| 0.040936 | 233.89 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.046614 | | | | | | | | | | KernelScale: 213.78 |
| 140 | 5 |接受| 0.040521 | 224.72 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.043998 | | | | | | | | | | KernelScale: 195.58 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 141 | |接受| 0.22208 | 64.659 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.049755 | | | | | | | | | | KernelScale: 151.01 |
| 142 | 6 |接受| 0.029444 | 30.014 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.21789 | | | | | | | | | | KernelScale: 64.023 |
| 143 | 6 |接受| 0.046013 | 49.025 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.14805 | | | | | | | | | | KernelScale: 178.98 |
| 144 | 6 |接受| 0.013291 | 42.726 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 960.14 | | | | | | | | | | KernelScale: 334.83 |
| 145 | 6 |接受| 0.59166 | 3493.5 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 17.982 | | | | | | | | | | KernelScale: 0.0043756 |
| 146 | 6 |接受| 0.089533 | 189.71 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.2326 | | | | | | | | | | KernelScale: 15.411 |
| 147 | 6 |接受| 0.03369 | 49.586 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.21482 | | | | | | | | | | KernelScale: 180.5 |
| 148 | 6 |接受| 0.013384 | 42.876 | 0.006415 | 0.0092051 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 920.16 | | | | | | | | | | KernelScale: 334.75 |
| 149 | 6 |接受| 0.027368 | 117.6 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.22783 | | | | | | | | | | KernelScale: 105.59 |
| 150 | 6 |接受| 0.041674 | 234.61 | 0.006415 | 0.0092051 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.032335 | | | | | | | | | | KernelScale: 182.17 |
__________________________________________________________优化完成。总迭代:150总运行时间:4534.2478秒训练和验证总时间:24883.8563秒最佳观察学习者是一个模型:方法:AdaBoostM2 NumLearningCycles: 214 MinLeafSize: 5 MaxNumSplits: 23观察验证损失:0.006415训练和验证时间:60.9987秒最佳估计学习者(返回模型)是一个整体模型:方法:AdaBoostM2 NumLearningCycles: 214 MinLeafSize: 3 MaxNumSplits: 16估计验证损失:0.0092051预计培训和验证时间:57.8146秒fitcauto显示文档
最终的模型返回的fitcauto对应的最佳估计的学习者。模型,函数返回之前使用整个训练数据(通过它XTrain和YTrain),上市学习者(或模型)类型,显示hyperparameter值。
评估测试集的性能
评估最终的模型性能测试数据集。
testAccuracy = 1 -损失(Mdl XTest,欧美)
testAccuracy = 0.9917
最终的模型是否正确分类超过99%的观察。
结合特征选择和自动分类器的选择
使用fitcauto与优化hyperparameters自动选择一个分类模型,预测和响应数据存储在表中。在传递数据fitcauto,执行特征选择从数据集中删除不重要的预测因子。
加载和分区数据
样例文件读取CreditRating_Historical.dat一个表中。预测数据由财务比率和企业客户的行业信息列表。响应变量由评级机构的信用评级分配。预览数据集的前几行。
creditrating = readtable (“CreditRating_Historical.dat”);头(creditrating)
ans =8×8表ID WC_TA RE_TA EBIT_TA MVE_BVTD S_TA行业评级_____持续累积________ _____ ________ 62394 0.013 0.104 0.036 0.447 0.142 3 {“BB”} 48608 0.232 0.335 0.062 1.969 0.281 8 {A} 42444 0.311 0.367 0.074 1.935 0.366 1 {A} 48631 0.194 0.263 0.062 1.017 0.228 - 4 {BBB的}43768 0.121 0.413 0.057 3.647 0.466 12 {' AAA '} 39255 -0.117 -0.799 0.01 0.179 0.082 - 4 {“CCC”} 62236 0.087 0.158 0.049 0.816 0.324 - 2 {BBB的}39354 0.005 0.181 0.034 2.597 0.388 7 {“AA”}
因为每个值ID变量是一个独特的客户ID,即长度(独特(creditrating.ID))等于观测的数量creditrating,ID变量是一个可怜的预测。删除ID从表中变量和转换行业变量,分类变量。
creditrating = removevars (creditrating,“ID”);creditrating。行业= categorical(creditrating.Industry);
分区数据分为训练集和测试集。使用大约85%的观测模型选择和hyperparameter调优过程,和15%的观察测试返回的最终模型的性能fitcauto在新数据。使用cvpartition分区的数据。
rng (“默认”)%的再现性分区c = cvpartition (creditrating.Rating“坚持”,0.15);trainingIndices =培训(c);%训练集的指标testIndices =测试(c);%测试集的指标creditTrain = creditrating (trainingIndices:);信贷= creditrating (testIndices:);
进行特征选择
之前通过训练数据fitcauto,找到使用的重要预测因子fscchi2函数。可视化预测分数通过使用酒吧函数。因为一些分数正,酒吧丢弃正值,绘制有限的分数,然后情节的有限表示正分数在不同的颜色。
[idx,分数]= fscchi2 (creditTrain,“评级”);栏(分数(idx))%是有限的分数持有在重要= isinf(分数);finiteMax = max(分数(~重要));酒吧(finiteMax *重要(idx))%代表正分数持有从xticklabels (strrep (creditTrain.Properties.VariableNames (idx),“_”,“\ _”)xtickangle(45)传说({“有限的分数”,“正分数”})
请注意,行业预测了对应于一个较低的分数p值大于0.05,这表明行业可能不是一个重要的特性。删除行业功能训练和测试数据集。
creditTrain = removevars (creditTrain,“行业”);信贷= removevars(信贷,“行业”);
运行fitcauto
通过训练数据fitcauto。函数使用贝叶斯优化选择模型及其hyperparameter值,并返回一个训练模型Mdl最好的预期性能。指定尝试所有可用的学习者类型和运行优化并行(需要并行计算工具箱™)。返回第二个输出结果包含贝叶斯优化的细节。
希望这个过程需要一些时间。默认情况下,fitcauto提供了一个优化的情节和迭代的优化结果。如何解释这些结果的更多信息,见详细的显示。
选择=结构(“UseParallel”,真正的);[Mdl,结果]= fitcauto (creditTrain“评级”,…“学习者”,“所有”,“HyperparameterOptimizationOptions”、选择);
警告:建议您首先标准化数值预测当优化朴素贝叶斯的宽度参数。忽略这个警告如果你已经做到了。
开始平行池(parpool)使用“本地”概要文件…连接到平行池(工人数量:6)。
复制目标函数工人……完成目标函数复制到工人。
探索学习者类型:discr合奏,内核,然而,线性,nb,支持向量机,树总迭代(MaxObjectiveEvaluations): 240总时间(MaxTime):正
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 1 | 6 |的| 0.42716 | 3.0379 | 0.42716 | 0.42716 | discrδ:| 0.00046441 | | | | | | | | | |γ:0.2485 |
| 2 | 4 |接受| 0.74185 | 4.7899 | 0.24948 | 0.29794 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.48455 | | | | | | | | | | KernelScale: 354.44 | | 3 | 4 |的| 0.24948 | 5.0813 | 0.24948 | 0.29794 | |线性编码:onevsone | | | | | | | | | |λ:6.3551 e-08 | | | | | | | | | |学习者:物流| | 4 | 4 |接受| 0.29794 | 3.7295 | 0.24948 | 0.29794 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 12 | | | | | | | | | | LearnRate: 0.063776 | | | | | | | | | | MinLeafSize: 277 |
| 5 | 3 |接受| 0.25097 | 9.2655 | 0.24948 | 0.25067 | |内核编码:onevsone | | | | | | | | | | KernelScale: 7.8433 | | | | | | | | | |λ:1.4468 e-06 | | 6 | 3 |接受| 0.25067 | 0.81139 | 0.24948 | 0.25067 |资讯| NumNeighbors: 105 | | | | | | | | | |距离:闵可夫斯基|
| 7 | 6 |接受| 0.52917 | 2.3362 | 0.24948 | 0.25067 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.002417 | | | | | | | | | | KernelScale: 356.9 |
| 8 | 3 |接受| 0.55818 | 0.63908 | 0.24948 | 0.25067 | discrδ:| 0.98612 | | | | | | | | | |γ:0.86519 | | 9 | 3 |接受| 0.3781 | 1.6777 | 0.24948 | 0.25067 | |线性编码:onevsall | | | | | | | | | |λ:1.0412 e-06 | | | | | | | | | |学习者:物流| | 10 | 3 |接受| 0.43225 | 0.80766 | 0.24948 | 0.25067 | discrδ:| 0.00013711 | | | | | | | | | |γ:0.60585 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 3 | 11日接受| 0.47712 | 3.3756 | 0.24948 | 0.25067 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 2.7347 | | | | | | | | | | KernelScale: 24.465 |
| 12 | 6 |接受| 0.25695 | 2.3709 | 0.24948 | 0.25067 | nb | DistributionNames:内核| | | | | | | | | |宽度:0.057566 |
| 13 | 4 |接受| 0.26413 | 0.49941 | 0.24379 | 0.25067 | |树MinLeafSize: 30 | | 14 | 4 |接受| 0.42327 | 0.85101 | 0.24379 | 0.25067 |资讯| NumNeighbors: 56 | | | | | | | | | |距离:余弦| |最好15 | 4 | | 0.24379 | 1.8084 | 0.24379 | 0.25067 | |线性编码:onevsone | | | | | | | | | |λ:5.9172 e-05 | | | | | | | | | |学习者:支持向量机|
| 16 | 3 |接受| 0.81544 | 4.9586 | 0.24379 | 0.25067 | |内核编码:onevsall | | | | | | | | | | KernelScale: 0.0043375 | | | | | | | | | |λ:0.0023789 | | 17 | 3 |接受| 0.45169 | 0.96723 | 0.24379 | 0.25067 | |线性编码:onevsall | | | | | | | | | |λ:0.0028505 | | | | | | | | | |学习者:支持向量机|
18岁| | 6 |接受| 0.33712 | 0.19972 | 0.24379 | 0.25695 |资讯| NumNeighbors: 1 | | | | | | | | | |距离:cityblock |
19 | | 3 |接受| 0.4834 | 0.38951 | 0.24379 | 0.25695 |资讯| NumNeighbors: 72 | | | | | | | | | |距离:相关| | 20 | 3 |接受| 0.46336 | 0.78881 | 0.24379 | 0.25695 | |线性编码:onevsall | | | | | | | | | |λ:0.0075732 | | | | | | | | | |学习者:支持向量机| | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 3 | 21日接受| 0.82082 | 2.9223 | 0.24379 | 0.25695 | |内核编码:onevsall | | | | | | | | | | KernelScale: 0.0042587 | | | | | | | | | |λ:0.0014754 | | | 3 | 22日接受| 0.61292 | 1.8557 | 0.24379 | 0.25695 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 13 | | | | | | | | | | LearnRate: 0.055349 | | | | | | | | | | MinLeafSize: 910 |
| | 6 | 23日接受| 0.43255 | 0.68689 | 0.24379 | 0.25695 | discrδ:| 0.016844 | | | | | | | | | |γ:0.64466 |
| | 4 | 24日接受| 0.28866 | 1.9017 | 0.24379 | 0.25695 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 10 | | | | | | | | | | LearnRate: 0.11662 | | | | | | | | | | MinLeafSize: 181 | | 25 | 4 |接受| 0.74185 | 1.3546 | 0.24379 | 0.25695 |资讯| NumNeighbors: 1314 | | | | | | | | | |距离:汉明| | | 4 | 26日接受| 0.42746 | 0.69002 | 0.24379 | 0.25695 | discr |三角洲:2.2544 e-06 | | | | | | | | | |γ:0.87275 |
| | 3 | 27日接受| 0.25606 | 12.143 | 0.24379 | 0.25498 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 132 | | | | | | | | | | LearnRate: 0.92674 | | | | | | | | | | MinLeafSize: 127 | | | 3 | 28日接受| 0.25366 | 2.4732 | 0.24379 | 0.25498 | nb | DistributionNames:内核| | | | | | | | | |宽度:0.10033 |
| | 6 | 29日接受| 0.66796 | 0.22938 | 0.24379 | 0.25498 |资讯| NumNeighbors: 77 | | | | | | | | | |距离:jaccard |
30 | | 4 |接受| 0.69488 | 1.9352 | 0.242 | 0.25498 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 8.4886 | | | | | | | | | | KernelScale: 192.19 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | 4 | 31日最好| 0.242 | 1.9467 | 0.242 | 0.25498 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 5.425 | | | | | | | | | | KernelScale: 2.434 | | 32 | 4 |接受| 0.32306 | 0.48104 | 0.242 | 0.25498 | |树MinLeafSize: 2 |
| | 4 | 33接受| 0.43225 | 0.10463 | 0.242 | 0.25498 | discr |三角洲:0.00015292 | | | | | | | | | |γ:0.51045 |
| | 4 | 34接受| 0.32994 | 0.2065 | 0.242 | 0.25498 | |树MinLeafSize: 3 |
35岁| | 6 |接受| 0.53814 | 2.8748 | 0.242 | 0.25498 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 6.8148 | | | | | | | | | | KernelScale: 382.11 |
36 | | 4 |接受| 0.24529 | 105.62 | 0.242 | 0.25498 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.25488 | | | | | | | | | | KernelScale: 0.0037823 | | 37 | 4 |接受| 0.53814 | 3.3272 | 0.242 | 0.25498 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 6.8148 | | | | | | | | | | KernelScale: 382.11 | | 38 | 4 |接受| 0.53814 | 3.8593 | 0.242 | 0.25498 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 6.8148 | | | | | | | | | | KernelScale: 382.11 |
39 | | 4 |接受| 0.25965 | 14.211 | 0.242 | 0.25498 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 150 | | | | | | | | | | LearnRate: 0.014842 | | | | | | | | | | MinLeafSize: 21 |
40 | | 5 |接受| 0.42656 | 0.16731 | 0.242 | 0.25498 | discrδ:| 0.0020866 | | | | | | | | | |γ:0.091054 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 41 | 5 |接受| 0.42656 | 0.11476 | 0.242 | 0.25498 | discrδ:| 0.0020866 | | | | | | | | | |γ:0.091054 |
42 | | 4 |接受| 0.2767 | 21.389 | 0.242 | 0.25498 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 221 | | | | | | | | | | LearnRate: 0.0028588 | | | | | | | | | | MinLeafSize: 1 | | | 4 | 43接受| 0.29973 | 0.1848 | 0.242 | 0.25498 | |树MinLeafSize: 7 |
| | 4 | 44接受| 0.25935 | 20.084 | 0.242 | 0.25498 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 304 | | | | | | | | | | LearnRate:南| | | | | | | | | | MinLeafSize: 100 |
45 | | 3 |接受| 0.24499 | 6.5071 | 0.242 | 0.26328 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.019387 | | | | | | | | | | KernelScale: 0.0047515 | | 46 | 3 |接受| 0.28059 | 0.19378 | 0.242 | 0.26328 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| | 6 | 47接受| 0.27281 | 0.13181 | 0.242 | 0.26328 |资讯| NumNeighbors: 8 | | | | | | | | | |距离:chebychev |
48 | | 3 |接受| 0.2429 | 1.5474 | 0.242 | 0.26328 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.16719 | | | | | | | | | | KernelScale: 0.11257 | | 49 | 3 |接受| 0.2423 | 1.5219 | 0.242 | 0.26328 | |线性编码:onevsone | | | | | | | | | |λ:4.28 e-07 | | | | | | | | | |学习者:支持向量机| | 50 | 3 |接受| 0.67125 | 0.68464 | 0.242 | 0.26328 |资讯| NumNeighbors: 86 | | | | | | | | | |距离:jaccard | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 51 | 3 |接受| 0.46485 | 0.8417 | 0.242 | 0.26328 | |树MinLeafSize: 645 |
52 | | 6 |接受| 0.63147 | 3.1926 | 0.242 | 0.26328 | |内核编码:onevsall | | | | | | | | | | KernelScale: 176.2 | | | | | | | | | |λ:2.3903 e-06 |
53 | | 4 |接受| 0.37571 | 0.11086 | 0.242 | 0.26706 | |树MinLeafSize: 473 | | 54 | 4 |接受| 0.29136 | 0.43908 | 0.242 | 0.26706 |资讯| NumNeighbors: 354 | | | | | | | | | |距离:欧几里得| | | 4 |接受55 | 0.28059 | 0.50642 | 0.242 | 0.26706 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
56 | | 3 |接受| 0.36375 | 5.2617 | 0.242 | 0.26706 | |内核编码:onevsone | | | | | | | | | | KernelScale: 28.598 | | | | | | | | | |λ:8.3238 e-05 | | 57 | 3 |接受| 0.27251 | 0.13425 | 0.242 | 0.26706 | |树MinLeafSize: 20 |
58 | | 6 |接受| 0.43225 | 0.083255 | 0.242 | 0.26706 | discrδ:| 0.021467 | | | | | | | | | |γ:0.66016 |
59 | | 3 |接受| 0.28059 | 0.10921 | 0.242 | 0.26106 | nb | DistributionNames:正常| | | | | | | | | |宽度:南| | 60 | 3 |接受| 0.42537 | 0.15885 | 0.242 | 0.26106 | discrδ:| 0.001728 | | | | | | | | | |γ:0.89471 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 61 | |接受| 0.81484 | 2.9209 | 0.242 | 0.26106 | |内核编码:onevsall | | | | | | | | | | KernelScale: 0.0063987 | | | | | | | | | |λ:0.0075855 | | 62 | |接受| 0.24948 | 2.4493 | 0.242 | 0.26106 | |线性编码:onevsone | | | | | | | | | |λ:1.3237 e-07 | | | | | | | | | |学习者:物流|
| 63 | 6 |接受| 0.68531 | 0.40944 | 0.242 | 0.26106 |资讯| NumNeighbors: 260 | | | | | | | | | |距离:jaccard |
| 64 | 3 |接受| 0.32426 | 9.8071 | 0.242 | 0.26007 |合奏|方法:RUSBoost | | | | | | | | | | NumLearningCycles: 132 | | | | | | | | | | LearnRate: 0.0014516 | | | | | | | | | | MinLeafSize: 104 | | 65 | |接受| 0.55369 | 0.69919 | 0.242 | 0.26007 |资讯| NumNeighbors: 615 | | | | | | | | | |距离:相关| | 66 | |接受| 0.24319 | 1.5742 | 0.242 | 0.26007 | |线性编码:onevsone | | | | | | | | | |λ:4.3001 e-09 | | | | | | | | | |学习者:支持向量机| | 67 | |接受| 0.70894 | 1.9822 | 0.242 | 0.26007 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.45564 | | | | | | | | | | KernelScale: 51.195 |
| 68 | 6 |接受| 0.46485 | 0.17082 | 0.242 | 0.26007 | |树MinLeafSize: 611 |
| 69 | 5 |接受| 0.74185 | 2.1172 | 0.242 | 0.26007 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.94197 | | | | | | | | | | KernelScale: 524.56 | | 70 | |接受| 0.83548 | 6.3585 | 0.242 | 0.26007 | |内核编码:onevsall | | | | | | | | | | KernelScale: 0.0038762 | | | | | | | | | |λ:2.288 e-06 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 71 | |接受| 0.25905 | 16.096 | 0.242 | 0.26007 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 160 | | | | | | | | | | LearnRate:南| | | | | | | | | | MinLeafSize: 2 | | 72 | |接受| 0.28448 | 13.826 | 0.242 | 0.26007 |合奏|方法:RUSBoost | | | | | | | | | | NumLearningCycles: 161 | | | | | | | | | | LearnRate: 0.7581 | | | | | | | | | | MinLeafSize: 14 | | 73 | |接受| 0.25695 | 0.24642 | 0.242 | 0.26007 |资讯| NumNeighbors: 14 | | | | | | | | | |距离:cityblock |
| 74 | 6 |接受| 0.32396 | 1.8799 | 0.242 | 0.26007 | |内核编码:onevsall | | | | | | | | | | KernelScale: 0.86904 | | | | | | | | | |λ:0.29724 |
| 75 | 4 |接受| 0.32456 | 0.20481 | 0.242 | 0.26007 | |树MinLeafSize: 5 | | 76 | |接受| 0.32994 | 0.35799 | 0.242 | 0.26007 | |树MinLeafSize: 3 | | 77 | |接受| 0.26054 | 4.1734 | 0.242 | 0.26007 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 32 | | | | | | | | | | LearnRate: 0.06853 | | | | | | | | | | MinLeafSize: 19 |
| 78 | 4 |接受| 0.43703 | 0.92964 | 0.242 | 0.24831 | |线性编码:onevsall | | | | | | | | | |λ:0.013265 | | | | | | | | | |学习者:物流|
| 79 | 4 |接受| 0.31588 | 17.116 | 0.242 | 0.24831 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 201 | | | | | | | | | | LearnRate: 0.0012955 | | | | | | | | | | MinLeafSize: 319 |
| 80 | 3 |接受| 0.25277 | 7.8173 | 0.242 | 0.24831 | |内核编码:onevsone | | | | | | | | | | KernelScale: 0.78697 | | | | | | | | | |λ:4.1197 e-06 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 81 | |接受| 0.43015 | 0.10239 | 0.242 | 0.24831 | discrδ:| 0.0069822 | | | | | | | | | |γ:0.49526 |
| 82 | 6 |接受| 0.42208 | 0.096953 | 0.242 | 0.24831 | discrδ:| 0.057485 | | | | | | | | | |γ:0.045714 |
| 83 | 3 |接受| 0.52617 | 2.3915 | 0.242 | 0.24831 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.26869 | | | | | | | | | | KernelScale: 17.595 | | 84 | |接受| 0.43344 | 1.2875 | 0.242 | 0.24831 |资讯| NumNeighbors: 119 | | | | | | | | | |距离:mahalanobis | | 85 | |接受| 0.30093 | 1.3003 | 0.242 | 0.24831 | |线性编码:onevsone | | | | | | | | | |λ:0.047624 | | | | | | | | | |学习者:支持向量机| | 86 | |接受| 0.42267 | 0.64506 | 0.242 | 0.24831 |资讯| NumNeighbors: 48 | | | | | | | | | |距离:余弦|
| 87 | 6 |接受| 0.32905 | 0.26891 | 0.242 | 0.24831 |资讯| NumNeighbors: 65 | | | | | | | | | |距离:seuclidean |
| 88 | 4 |接受| 0.24349 | 1.9282 | 0.242 | 0.24684 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0024196 | | | | | | | | | | KernelScale: 0.0082547 | | 89 | |接受| 0.24499 | 1.6543 | 0.242 | 0.24684 | |线性编码:onevsone | | | | | | | | | |λ:3.3697 e-06 | | | | | | | | | |学习者:支持向量机| | 90 | |接受| 0.24469 | 2.1463 | 0.242 | 0.24684 | |线性编码:onevsone | | | | | | | | | |λ:6.5777 e-05 | | | | | | | | | |学习者:物流|
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 91 | |接受| 0.28059 | 0.15481 | 0.242 | 0.24684 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 92 | 5 |接受| 0.28059 | 0.38138 | 0.242 | 0.24684 | nb | DistributionNames:正常| | | | | | | | | |宽度:南| | 93 | |接受| 0.28059 | 0.15804 | 0.242 | 0.24684 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 94 | 4 |接受| 0.29674 | 11.234 | 0.242 | 0.24684 |合奏|方法:RUSBoost | | | | | | | | | | NumLearningCycles: 147 | | | | | | | | | | LearnRate: 0.95321 | | | | | | | | | | MinLeafSize: 112 | | 95 | |接受| 0.28059 | 0.12279 | 0.242 | 0.24684 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 96 | 4 |接受| 0.29704 | 1.1016 | 0.242 | 0.24684 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 11 | | | | | | | | | | LearnRate: 0.0072731 | | | | | | | | | | MinLeafSize: 12 |
| 97 | 4 |接受| 0.28059 | 0.099833 | 0.242 | 0.24684 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
最好| 98 | 4 | | 0.2411 | 1.3634 | 0.2411 | 0.24471 | |线性编码:onevsone | | | | | | | | | |λ:0.00056045 | | | | | | | | | |学习者:支持向量机|
| 99 | 4 |接受| 0.74185 | 0.10441 | 0.2411 | 0.24471 | discrδ:| 39.281 | | | | | | | | | |γ:0.77032 |
| 100 | 4 |接受| 0.30093 | 0.11043 | 0.2411 | 0.24471 | |树MinLeafSize: 135 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 101 | |接受| 0.46844 | 0.17182 | 0.2411 | 0.24471 |资讯| NumNeighbors: 2 | | | | | | | | | |距离:余弦|
| 102 | 4 |接受| 0.25426 | 3.1634 | 0.2411 | 0.24471 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 38 | | | | | | | | | | LearnRate:南| | | | | | | | | | MinLeafSize: 28 |
| 103 | 4 |接受| 0.24469 | 1.6558 | 0.2411 | 0.24558 | |线性编码:onevsone | | | | | | | | | |λ:0.0012413 | | | | | | | | | |学习者:物流|
| 104 | 4 |接受| 0.43823 | 3.6572 | 0.2411 | 0.24558 | |内核编码:onevsone | | | | | | | | | | KernelScale: 13.293 | | | | | | | | | |λ:0.0031304 |
| 105 | 4 |接受| 0.31977 | 1.3423 | 0.2411 | 0.24556 | |线性编码:onevsone | | | | | | | | | |λ:0.040102 | | | | | | | | | |学习者:物流|
| 106 | 6 |接受| 0.24678 | 2.0849 | 0.2411 | 0.24529 | |线性编码:onevsone | | | | | | | | | |λ:3.9918 e-05 | | | | | | | | | |学习者:物流|
| 107 | 5 |接受| 0.24678 | 1.9627 | 0.2411 | 0.24441 | |线性编码:onevsone | | | | | | | | | |λ:3.9918 e-05 | | | | | | | | | |学习者:物流| | 108 | |接受| 0.24678 | 2.3413 | 0.2411 | 0.24441 | |线性编码:onevsone | | | | | | | | | |λ:3.9918 e-05 | | | | | | | | | |学习者:物流|
| 109 | 4 |接受| 0.29435 | 14.698 | 0.2411 | 0.24441 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 249 | | | | | | | | | | LearnRate:南| | | | | | | | | | MinLeafSize: 292 | | 110 | |接受| 0.37152 | 0.098701 | 0.2411 | 0.24441 | |树MinLeafSize: 375 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 111 | |接受| 0.25666 | 5.7386 | 0.2411 | 0.24441 |合奏|方法:袋| | | | | | | | | | NumLearningCycles: 61 | | | | | | | | | | LearnRate:南| | | | | | | | | | MinLeafSize: 3 | | 112 | |接受| 0.28059 | 0.10645 | 0.2411 | 0.24441 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 113 | 4 |接受| 0.28059 | 0.10515 | 0.2411 | 0.24441 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 114 | 6 |接受| 0.74185 | 2.7447 | 0.2411 | 0.24441 | nb | DistributionNames:内核| | | | | | | | | |宽度:74.975 |
| 115 | 4 |接受| 0.78552 | 10.495 | 0.2411 | 0.24441 | |内核编码:onevsone | | | | | | | | | | KernelScale: 0.0050713 | | | | | | | | | |λ:3.7406 e-06 | | 116 | |接受| 0.74185 | 2.7544 | 0.2411 | 0.24441 | nb | DistributionNames:内核| | | | | | | | | |宽度:74.975 | | 117 | |接受| 0.74185 | 2.6565 | 0.2411 | 0.24441 | nb | DistributionNames:内核| | | | | | | | | |宽度:74.975 |
| 118 | 4 |接受| 0.45797 | 11.614 | 0.2411 | 0.24441 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.94716 | | | | | | | | | | KernelScale: 0.072905 |
| 119 | 4 |接受| 0.65271 | 1.6037 | 0.2411 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010356 | | | | | | | | | | KernelScale: 1.3521 |
| 120 | 4 |接受| 0.3108 | 1.4953 | 0.2411 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.080708 | | | | | | | | | | KernelScale: 2.7439 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 121 | |接受| 0.2414 | 1.2954 | 0.2411 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0048396 | | | | | | | | | | KernelScale: 0.02413 |
| 122 | 4 |接受| 0.5157 | 9.6657 | 0.2411 | 0.24441 | |内核编码:onevsone | | | | | | | | | | KernelScale: 0.071659 | | | | | | | | | |λ:1.3447 e-05 |
| 123 | 4 |接受| 0.53186 | 390.32 | 0.2402 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 416.46 | | | | | | | | | | KernelScale: 0.0019087 | | 124 | |最好| 0.2402 | 1.4571 | 0.2402 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.033468 | | | | | | | | | | KernelScale: 0.073489 |
| 125 | 4 |接受| 0.2402 | 1.3713 | 0.2402 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0040249 | | | | | | | | | | KernelScale: 0.030373 |
| 126 | 3 |接受| 0.24529 | 39.503 | 0.2402 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.32116 | | | | | | | | | | KernelScale: 0.0076281 | | 127 | |接受| 0.25576 | 1.4031 | 0.2402 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.018022 | | | | | | | | | | KernelScale: 0.3703 |
| 128 | 6 |接受| 0.2426 | 1.3555 | 0.2402 | 0.24229 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.029999 | | | | | | | | | | KernelScale: 0.046245 |
| 129 | 3 |接受| 0.24499 | 9.5236 | 0.2402 | 0.24419 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.38346 | | | | | | | | | | KernelScale: 0.01786 | | 130 | |接受| 0.28059 | 0.12828 | 0.2402 | 0.24419 | nb | DistributionNames:正常| | | | | | | | | |宽度:南| | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 131 | |接受| 0.6886 | 1.4213 | 0.2402 | 0.24419 | |线性编码:onevsone | | | | | | | | | |λ:3.0763 | | | | | | | | | |学习者:物流| | 132 | |接受| 0.4487 | 3.111 | 0.2402 | 0.24419 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 4.845 | | | | | | | | | | KernelScale: 0.74028 |
| 133 | 6 |接受| 0.24469 | 8.3042 | 0.2402 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.45335 | | | | | | | | | | KernelScale: 0.02034 |
| 134 | 3 |接受| 0.26204 | 1.7109 | 0.2402 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0011217 | | | | | | | | | | KernelScale: 0.10651 | | 135 | |接受| 0.74185 | 4.0388 | 0.2402 | 0.24441 | |内核编码:onevsone | | | | | | | | | | KernelScale: 10.518 | | | | | | | | | |λ:0.20458 | | 136 | |接受| 0.29734 | 9.9598 | 0.2402 | 0.24441 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 107 | | | | | | | | | | LearnRate: 0.0023672 | | | | | | | | | | MinLeafSize: 197 | | 137 | |接受| 0.44391 | 2.0399 | 0.2402 | 0.24441 | nb | DistributionNames:内核| | | | | | | | | |宽度:0.00025608 |
| 138 | 6 |接受| 0.24559 | 3.2102 | 0.2402 | 0.24276 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.5211 | | | | | | | | | | KernelScale: 0.04163 |
| 139 | 4 |接受| 0.25067 | 1.4995 | 0.2402 | 0.24276 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.030306 | | | | | | | | | | KernelScale: 0.37391 | | 140 | |接受| 0.24559 | 1.6227 | 0.2402 | 0.24276 | |线性编码:onevsone | | | | | | | | | |λ:3.0973 e-07 | | | | | | | | | |学习者:支持向量机| | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 141 | |接受| 0.74634 | 7.0945 | 0.2402 | 0.24276 | |内核编码:onevsone | | | | | | | | | | KernelScale: 0.01094 | | | | | | | | | |λ:0.0013866 |
| 142 | 4 |接受| 0.29076 | 1.3294 | 0.2402 | 0.24334 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.006875 | | | | | | | | | | KernelScale: 0.38629 |
| 143 | 4 |接受| 0.24379 | 1.4595 | 0.2402 | 0.24269 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010315 | | | | | | | | | | KernelScale: 0.0079737 |
| 144 | 4 |接受| 0.24499 | 4.9134 | 0.2402 | 0.24226 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.62692 | | | | | | | | | | KernelScale: 0.033311 |
| 145 | 4 |接受| 0.24469 | 12.208 | 0.2402 | 0.24242 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010122 | | | | | | | | | | KernelScale: 0.0010167 |
| 146 | 4 |接受| 0.38588 | 1.5037 | 0.2402 | 0.24388 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0011127 | | | | | | | | | | KernelScale: 0.52838 |
| 147 | 4 |接受| 0.24589 | 1.3026 | 0.2402 | 0.24228 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.1424 | | | | | | | | | | KernelScale: 0.58035 |
| 148 | 4 |接受| 0.2408 | 1.2582 | 0.2402 | 0.24165 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010168 | | | | | | | | | | KernelScale: 0.032668 |
| 149 | 4 |接受| 0.24469 | 1.2764 | 0.2402 | 0.24197 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.13008 | | | | | | | | | | KernelScale: 0.53455 |
| 150 | 5 |接受| 0.24469 | 6.7111 | 0.2402 | 0.24222 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.45516 | | | | | | | | | | KernelScale: 0.024796 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 151 | |接受| 0.30422 | 1.5471 | 0.2402 | 0.24244 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.36805 | | | | | | | | | | KernelScale: 4.7124 |
| 152 | 6 |接受| 0.24559 | 1.5701 | 0.2402 | 0.2414 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.21039 | | | | | | | | | | KernelScale: 0.63504 |
| 153 | 5 |接受| 0.24529 | 66.311 | 0.2402 | 0.24243 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.45714 | | | | | | | | | | KernelScale: 0.0069546 | | 154 | |接受| 0.24589 | 1.604 | 0.2402 | 0.24243 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010712 | | | | | | | | | | KernelScale: 0.043866 |
| 155 | 5 |接受| 0.29345 | 1.4823 | 0.2402 | 0.24262 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.032053 | | | | | | | | | | KernelScale: 0.88175 |
| 156 | 6 |接受| 0.25247 | 1.4792 | 0.2402 | 0.24289 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.14103 | | | | | | | | | | KernelScale: 0.91489 |
| 157 | 6 |接受| 0.2405 | 1.5732 | 0.2402 | 0.242 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010011 | | | | | | | | | | KernelScale: 0.012195 |
| 158 | 6 |接受| 0.2426 | 1.5232 | 0.2402 | 0.24223 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.52301 | | | | | | | | | | KernelScale: 0.69511 |
| 159 | 6 |接受| 0.25456 | 1.9467 | 0.2402 | 0.24253 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.63305 | | | | | | | | | | KernelScale: 2.1073 |
| 160 | 5 |接受| 0.24559 | 133.37 | 0.2402 | 0.24253 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.73914 | | | | | | | | | | KernelScale: 0.005832 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 161 | |接受| 0.57314 | 8.1723 | 0.2402 | 0.24253 | |内核编码:onevsall | | | | | | | | | | KernelScale: 0.071267 | | | | | | | | | |λ:1.4009 e-06 |
| 162 | 5 |接受| 0.24649 | 1.6878 | 0.2402 | 0.24325 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.19825 | | | | | | | | | | KernelScale: 0.74742 |
| 163 | 5 |接受| 0.2417 | 1.5824 | 0.2402 | 0.24297 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010619 | | | | | | | | | | KernelScale: 0.01008 |
| 164 | 4 |接受| 0.45528 | 140.46 | 0.2402 | 0.24441 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.00706 | | | | | | | | | | KernelScale: 0.030909 | | 165 | |接受| 0.31409 | 1.5573 | 0.2402 | 0.24441 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.56217 | | | | | | | | | | KernelScale: 7.5961 |
| 166 | 4 |接受| 0.46575 | 2.2317 | 0.2402 | 0.24441 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.10607 | | | | | | | | | | KernelScale: 0.67446 |
| 167 | 4 |接受| 0.24529 | 3.3215 | 0.2402 | 0.24334 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 1.4843 | | | | | | | | | | KernelScale: 0.069679 |
| 168 | 4 |接受| 0.25396 | 1.3297 | 0.2402 | 0.24353 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.52671 | | | | | | | | | | KernelScale: 1.9394 |
| 169 | 5 |接受| 0.2402 | 1.5257 | 0.2402 | 0.24313 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010378 | | | | | | | | | | KernelScale: 0.012749 |
| 170 | 6 |接受| 0.3464 | 1.8583 | 0.2402 | 0.24237 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.50591 | | | | | | | | | | KernelScale: 9.2835 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 171 | |接受| 0.24499 | 12.298 | 0.2402 | 0.24203 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0018442 | | | | | | | | | | KernelScale: 0.0012506 |
| 172 | 6 |接受| 0.30272 | 1.6031 | 0.2402 | 0.24186 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 2.8265 | | | | | | | | | | KernelScale: 11.897 |
| 173 | 6 |接受| 0.24349 | 1.4247 | 0.2402 | 0.24134 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010459 | | | | | | | | | | KernelScale: 0.036404 |
| 174 | 6 |接受| 0.29794 | 1.6502 | 0.2402 | 0.24299 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 5.4893 | | | | | | | | | | KernelScale: 13.359 |
| 175 | 5 |接受| 0.24529 | 109.43 | 0.2402 | 0.24345 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.88969 | | | | | | | | | | KernelScale: 0.0075436 | | 176 | |接受| 0.25007 | 1.6406 | 0.2402 | 0.24345 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010212 | | | | | | | | | | KernelScale: 0.071763 |
| 177 | 5 |接受| 0.24619 | 2.171 | 0.2402 | 0.24259 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010341 | | | | | | | | | | KernelScale: 0.0039146 |
| 178 | 5 |接受| 0.32576 | 1.6841 | 0.2402 | 0.24185 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 1.6102 | | | | | | | | | | KernelScale: 14.532 |
| 179 | 5 |接受| 0.8262 | 890.49 | 0.2402 | 0.24179 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 0.18649 | | | | | | | | | | KernelScale: 0.0010802 |
| 180 | 5 |接受| 0.30212 | 1.5671 | 0.2402 | 0.24174 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 6.0833 | | | | | | | | | | KernelScale: 15.913 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 181 | |接受| 0.24499 | 14.697 | 0.2402 | 0.24192 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0078062 | | | | | | | | | | KernelScale: 0.0020664 |
| 182 | 5 |接受| 0.24529 | 61.944 | 0.2402 | 0.2414 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 1.0466 | | | | | | | | | | KernelScale: 0.011265 |
| 183 | 5 |接受| 0.24499 | 17.644 | 0.2402 | 0.24186 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0021279 | | | | | | | | | | KernelScale: 0.0010743 |
| 184 | 5 |接受| 0.29794 | 1.6007 | 0.2402 | 0.24189 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010132 | | | | | | | | | | KernelScale: 0.17669 |
| 185 | 4 |接受| 0.24918 | 279.94 | 0.2402 | 0.24236 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 891.39 | | | | | | | | | | KernelScale: 0.076868 | | 186 | |接受| 0.26593 | 1.4006 | 0.2402 | 0.24236 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.14381 | | | | | | | | | | KernelScale: 1.2859 |
| 187 | 4 |接受| 0.24768 | 1.438 | 0.2402 | 0.24161 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.47763 | | | | | | | | | | KernelScale: 1.4081 |
| 188 | 4 |接受| 0.24589 | 2.5142 | 0.2402 | 0.2416 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010362 | | | | | | | | | | KernelScale: 0.0024579 |
| 189 | 4 |接受| 0.2405 | 1.2662 | 0.2402 | 0.24215 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 11.232 | | | | | | | | | | KernelScale: 1.4768 |
| 190 | 4 |接受| 0.24678 | 1.2604 | 0.2402 | 0.24174 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.48152 | | | | | | | | | | KernelScale: 1.1771 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 191 | |接受| 0.25426 | 1.2846 | 0.2402 | 0.24186 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.47194 | | | | | | | | | | KernelScale: 1.7714 |
| 192 | 5 |接受| 0.24768 | 1.3295 | 0.2402 | 0.24188 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.44397 | | | | | | | | | | KernelScale: 1.3493 |
| 193 | 6 |接受| 0.2414 | 1.3979 | 0.2402 | 0.24154 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 1.8796 | | | | | | | | | | KernelScale: 1.4211 |
| 194 | 6 |接受| 0.24499 | 18.984 | 0.2402 | 0.24225 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0018335 | | | | | | | | | | KernelScale: 0.0010104 |
| 195 | 6 |接受| 0.25037 | 1.5112 | 0.2402 | 0.24212 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.41413 | | | | | | | | | | KernelScale: 1.4211 |
| 196 | 6 |接受| 0.24499 | 6.007 | 0.2402 | 0.24191 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010001 | | | | | | | | | | KernelScale: 0.0013198 |
| 197 | 6 |接受| 0.24529 | 111.16 | 0.2402 | 0.24215 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.046722 | | | | | | | | | | KernelScale: 0.0016388 |
| 198 | 5 |接受| 0.24499 | 18.688 | 0.2402 | 0.24186 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0033281 | | | | | | | | | | KernelScale: 0.0012057 | | 199 | |接受| 0.2426 | 1.4789 | 0.2402 | 0.24186 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 3.0066 | | | | | | | | | | KernelScale: 1.3889 |
| 200 | 6 |接受| 0.2417 | 1.499 | 0.2402 | 0.24212 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 1.7327 | | | | | | | | | | KernelScale: 1.3637 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 201 | |接受| 0.26473 | 277.53 | 0.2402 | 0.24176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.19781 | | | | | | | | | | KernelScale: 0.0010905 | | 202 | |接受| 0.30332 | 1.5632 | 0.2402 | 0.24176 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.075228 | | | | | | | | | | KernelScale: 1.8677 |
| 203 | 5 |接受| 0.3108 | 1.5519 | 0.2402 | 0.24188 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 2.8086 | | | | | | | | | | KernelScale: 16.078 |
| 204 | 5 |接受| 0.2414 | 1.4413 | 0.2402 | 0.24147 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 3.1547 | | | | | | | | | | KernelScale: 0.57043 |
| 205 | 5 |接受| 0.3108 | 1.5576 | 0.2402 | 0.24195 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 3.0235 | | | | | | | | | | KernelScale: 16.787 |
| 206 | 5 |接受| 0.2411 | 1.3939 | 0.2402 | 0.24163 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010447 | | | | | | | | | | KernelScale: 0.022855 |
| 207 | 5 |接受| 0.29704 | 1.5568 | 0.2402 | 0.24155 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.11574 | | | | | | | | | | KernelScale: 1.8573 |
| 208 | 5 |接受| 0.2426 | 1.4114 | 0.2402 | 0.24195 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 2.2749 | | | | | | | | | | KernelScale: 1.2395 |
| 209 | 5 |接受| 0.24559 | 3.445 | 0.2402 | 0.2417 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 560.48 | | | | | | | | | | KernelScale: 1.4181 |
| 210 | 4 |接受| 0.24678 | 266.64 | 0.2402 | 0.24136 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 11.849 | | | | | | | | | | KernelScale: 0.0095181 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 211 | |接受| 0.24589 | 2.1278 | 0.2402 | 0.24136 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 41.82 | | | | | | | | | | KernelScale: 0.71147 |
| 212 | 3 |接受| 0.95034 | 1042.9 | 0.2402 | 0.24153 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 10.672 | | | | | | | | | | KernelScale: 0.0013453 | | 213 | |接受| 0.24649 | 2.0006 | 0.2402 | 0.24153 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 210.22 | | | | | | | | | | KernelScale: 1.4654 |
| 214 | 6 |接受| 0.26653 | 1.2521 | 0.2402 | 0.24136 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.16417 | | | | | | | | | | KernelScale: 1.3626 |
| 215 | 4 |接受| 0.2429 | 1.5969 | 0.2402 | 0.24136 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010295 | | | | | | | | | | KernelScale: 0.008743 | | 216 | |接受| 0.33353 | 1.2604 | 0.2402 | 0.24136 | nb | DistributionNames:内核| | | | | | | | | |宽度:0.0017992 | | 217 | |接受| 0.28059 | 0.2661 | 0.2402 | 0.24136 | nb | DistributionNames:正常| | | | | | | | | |宽度:南|
| 218 | 4 |接受| 0.24798 | 1.3024 | 0.2402 | 0.24173 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 66.132 | | | | | | | | | | KernelScale: 16.829 |
| 219 | 4 |接受| 0.24529 | 1.255 | 0.2402 | 0.24156 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 1.0858 | | | | | | | | | | KernelScale: 1.3599 |
| 220 | 4 |接受| 0.2408 | 1.2539 | 0.2402 | 0.24183 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 3.8001 | | | | | | | | | | KernelScale: 1.3322 |
| = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 221 | |接受| 0.24589 | 1.8906 | 0.2402 | 0.24185 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 399.07 | | | | | | | | | | KernelScale: 2.1791 |
| 222 | 4 |接受| 0.2414 | 1.2821 | 0.2402 | 0.24187 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 4.8589 | | | | | | | | | | KernelScale: 1.3542 |
| 223 | 4 |接受| 0.2423 | 1.2804 | 0.2402 | 0.24131 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 2.6082 | | | | | | | | | | KernelScale: 1.3565 |
| 224 | 4 |接受| 0.24559 | 3.1158 | 0.2402 | 0.24116 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 536.1 | | | | | | | | | | KernelScale: 1.4679 |
| 225 | 4 |接受| 0.25067 | 1.3228 | 0.2402 | 0.24178 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 74.127 | | | | | | | | | | KernelScale: 18.528 |
| 226 | 3 |接受| 0.28358 | 328 | 0.2402 | 0.24207 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.47384 | | | | | | | | | | KernelScale: 0.001006 | | 227 | |接受| 0.24499 | 6.2167 | 0.2402 | 0.24207 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0026293 | | | | | | | | | | KernelScale: 0.0019141 |
| 228 | 6 |接受| 0.2402 | 1.2501 | 0.2402 | 0.24173 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 0.0010356 | | | | | | | | | | KernelScale: 0.012867 |
| 229 | 3 |接受| 0.24589 | 1.4248 | 0.2402 | 0.24173 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 104.21 | | | | | | | | | | KernelScale: 17.45 | | 230 | |接受| 0.43015 | 0.13765 | 0.2402 | 0.24173 | discrδ:| 0.00951 | | | | | | | | | |γ:0.68613 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 231 | |接受| 0.47383 | 2.5354 | 0.2402 | 0.24173 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 1.2431 | | | | | | | | | | KernelScale: 0.76632 | | 232 | |接受| 0.67664 | 0.30377 | 0.2402 | 0.24173 |资讯| NumNeighbors: 8 | | | | | | | | | |距离:jaccard |
| 233 | 6 |接受| 0.2414 | 1.2369 | 0.2402 | 0.24133 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 820.98 | | | | | | | | | | KernelScale: 17.331 |
| 234 | 3 |接受| 0.27759 | 1.4452 | 0.2402 | 0.24133 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 22.198 | | | | | | | | | | KernelScale: 17.97 | | 235 | |接受| 0.28059 | 0.13623 | 0.2402 | 0.24133 | nb | DistributionNames:正常| | | | | | | | | |宽度:南| | 236 | |接受| 0.52408 | 1.503 | 0.2402 | 0.24133 |资讯| NumNeighbors: 351 | | | | | | | | | |距离:mahalanobis | | 237 | |接受| 0.27789 | 5.8867 | 0.2402 | 0.24133 |合奏|方法:RUSBoost | | | | | | | | | | NumLearningCycles: 68 | | | | | | | | | | LearnRate: 0.18331 | | | | | | | | | | MinLeafSize: 3 |
| 238 | 6 |接受| 0.24499 | 1.2819 | 0.2402 | 0.24188 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 201.86 | | | | | | | | | | KernelScale: 18.062 |
| 239 | 3 |接受| 0.25097 | 1.4345 | 0.2402 | 0.24116 |支持向量机|编码:onevsone | | | | | | | | | | BoxConstraint: 105.8 | | | | | | | | | | KernelScale: 23.315 | | 240 | |接受| 0.30212 | 0.12275 | 0.2402 | 0.24116 | |树MinLeafSize: 122 | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | | Iter |活跃Eval培训| | |验证时间观察敏|估计分钟|学生| Hyperparameter:值| | |工人| | | &损失结果验证(sec) | |验证损失确认的损失| | | | = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = = | | 241 | |接受| 0.25307 | 11.978 | 0.2402 | 0.24116 |合奏|方法:AdaBoostM2 | | | | | | | | | | NumLearningCycles: 119 | | | | | | | | | | LearnRate: 0.60308 | | | | | | | | | | MinLeafSize: 1 | | 242 | |接受| 0.44182 | 11.435 | 0.2402 | 0.24116 |支持向量机|编码:onevsall | | | | | | | | | | BoxConstraint: 6.2783 | | | | | | | | | | KernelScale: 0.19364 |
__________________________________________________________优化完成。总迭代:242总运行时间:1907.7403秒训练和验证总时间:4936.5339秒最佳观察学习者是一个多类支持向量机模型:编码(ECOC): onevsone BoxConstraint: 0.033468 KernelScale: 0.073489观察验证损失:0.2402训练和验证时间:1.4571秒最佳估计学习者(返回模型)是一个多类支持向量机模型:编码(ECOC): onevsone BoxConstraint: 0.0010378 KernelScale: 0.012749估计验证损失:0.24116预计培训和验证时间:1.5595秒fitcauto显示文档
最终的模型返回的fitcauto对应的最佳估计的学习者。模型,函数返回之前使用整个训练数据(通过它creditTrain),上市学习者(或模型)类型,显示hyperparameter值。
评估测试集的性能
该模型Mdl对应于最好的点根据贝叶斯优化“min-visited-mean”标准。计模型将如何执行新数据,看看观察交叉验证模型的准确性(cvAccuracy)及其一般基于贝叶斯估计的性能优化(estimatedAccuracy)。
[x, ~,迭代]= bestPoint(结果,“标准”,“min-visited-mean”);cvError = Results.ObjectiveTrace(迭代);cvAccuracy = 1 - cvError
cvAccuracy = 0.7598
estimatedError = predictObjective(结果,x);estimatedAccuracy = 1 - estimatedError
estimatedAccuracy = 0.7588
评估模型在测试集上的性能。从结果创建一个混淆矩阵,并指定类的顺序混淆矩阵。
testAccuracy = 1 -损失(Mdl,信贷,“评级”)
testAccuracy = 0.7438
厘米= confusionchart (creditTest.Rating,预测(Mdl信贷));sortClasses(厘米,{“AAA”,“AA”,“一个”,“BBB”,“BB”,“B”,“CCC”})
输入参数
输出参数
更多关于
提示
根据您的数据的大小和学习者您指定的数量,
fitcauto可以花费一些时间来运行。如果你有一个并行计算工具箱的许可证,您可以加快并行计算通过运行优化。为此,指定“HyperparameterOptimizationOptions”、结构(UseParallel,真的)。您可以包含其他字段结构控制优化的其他方面。看到HyperparameterOptimizationOptions。
算法
选择功能
如果你不确定该模型最适合你的数据集,或者可以使用分类学习者应用。使用这个应用程序,您可以执行hyperparameter调优对于不同的模型,并选择执行最佳的优化模型。虽然之前,必须选择一个特定模型hyperparameters优化模型,分类学习者提供了更大的灵活性,以选择optimizable hyperparameters和设置hyperparameter值。然而,你不能并行优化,选择
“线性”或“内核”学习者,指定观察权重,或者指定先验概率的应用。更多信息,明白了Hyperparameter优化分类学习者应用。如果你知道哪些模型可能适合您的数据,或者您可以使用相应的模型符合功能和指定
“OptimizeHyperparameters”名称-值对参数优化hyperparameters。可以跨模型的比较结果来选择最佳的分类器。这个过程的一个例子,看到朝着自动化使用贝叶斯优化模型选择。
扩展功能
介绍了R2020a
