谁能帮我翻一下weka的结果,不要用翻译软件,真正懂weka的来帮我翻译下,答得好的有加分,我有1000的财富

谁能帮我翻一下weka的结果,不要用翻译软件,真正懂weka的来帮我翻译下,答得好的有加分,我有1000的财富
=== Run information ===
Scheme:weka.classifiers.functions.LibSVM -S 0 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.0010 -P 0.1
Relation: Glass
Instances: 214
Attributes: 10
RI
Na
Mg
Al
Si
K
Ca
Ba
Fe
Type
Test mode:10-fold cross-validation
=== Classifier model (full training set) ===
LibSVM wrapper, original code by Yasser EL-Manzalawy (= WLSVM)
Time taken to build model: 0.02 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 148 69.1589 %
Incorrectly Classified Instances 66 30.8411 %
Kappa statistic 0.3579
Mean absolute error 0.0881
Root mean squared error 0.2968
Relative absolute error 60.7715 %
Root relative squared error 111.5949 %
Total Number of Instances 214
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure ROC Area Class
0.847 0.5 0.676 0.847 0.752 0.674 build wind float
0.5 0.153 0.727 0.5 0.593 0.674 build wind non-float
0 0 0 0 0 ? vehic wind float
0 0 0 0 0 ? vehic wind non-float
0 0 0 0 0 ? containers
0 0 0 0 0 ? tableware
0 0 0 0 0 ? headlamps
Weighted Avg. 0.692 0.344 0.699 0.692 0.68 0.674
=== Confusion Matrix ===
a b c d e f g
不要翻译软件翻译的，真正懂weka的来帮我下，我用的是weka 3-6-6里面的glass.arff的例子

==== = = = ===管理信息
方案：weka.classifiers.functions.libsvm- 0-2-3-0 -0-0.5 -40-1-0.0010 -0.1
关系：玻璃
例子：214
属性：10
国际扶轮
钠
毫克
铝
硅
钾
钙
学士学位
铁
型
测试模式：10倍交叉验证
===分类器模型（训练集）===
预选的包装,原代码由亚西尔el-manzalawy（=wlsvm）
时间来建立模型：0.02秒
==== = = = ===分层交叉验证
==== = = = ===总结
正确的分类实例14869.1589%
不正确的分类实例6630.8411%
卡伯统计0.3579
平均绝对误差为0.0881
根平均平方误差0.2968
相对误差绝对值60.7715%
相对误差平方根111.5949%
总人数的情况下,214
==== = = = ===详细准确的类
普瑞尔率计划生育率精度召回的F -02面积课件
0.8470.50.6760.8470.7520.674建立风漂浮
0.50.1530.7270.50.5930.674建立风非浮动
00000?车辆风漂浮
00000?非浮动车的风
00000?容器
00000?餐具
00000?前大灯
加权平均0.6920.3440.6990.6920.680.674
==== = = = ===混淆矩阵
单位按克