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我想了解来自心脏病学-weka.arff的WEKA J48决策树。J48使用WEKA输出决策树节点
我已经运行下面的输出，
Test mode:10-fold cross-validation
=== Classifier model (full training set) ===
J48 pruned tree
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thal = Rev
| chest-pain-type = Asymptomatic: Sick (79.0/7.0)
| chest-pain-type = AbnormalAngina
| | #colored-vessels = 0
| | | peak <= 0.1: Healthy (4.0)
| | | peak > 0.1: Sick (3.0/1.0)
| | #colored-vessels = 1: Sick (2.0)
| | #colored-vessels = 2: Healthy (0.0)
| | #colored-vessels = 3: Healthy (0.0)
| chest-pain-type = Angina
| | cholesterol <= 229: Healthy (3.0)
| | cholesterol > 229
| | | age <= 48: Sick (2.0)
| | | age > 48: Healthy (3.0/1.0)
| chest-pain-type = NoTang
| | slope = Flat
| | | #colored-vessels = 0
| | | | blood-pressure <= 122: Healthy (3.0)
| | | | blood-pressure > 122: Sick (3.0)
| | | #colored-vessels = 1: Sick (5.0)
| | | #colored-vessels = 2: Sick (0.0)
| | | #colored-vessels = 3: Sick (3.0/1.0)
| | slope = Up: Healthy (7.0/1.0)
| | slope = Down: Healthy (1.0)
thal = Normal
| #colored-vessels = 0: Healthy (118.0/12.0)
| #colored-vessels = 1
| | sex = Male
| | | chest-pain-type = Asymptomatic: Sick (9.0)
| | | chest-pain-type = AbnormalAngina: Sick (2.0/1.0)
| | | chest-pain-type = Angina: Healthy (3.0/1.0)
| | | chest-pain-type = NoTang: Healthy (2.0)
| | sex = Female: Healthy (13.0/1.0)
| #colored-vessels = 2
| | angina = TRUE: Sick (3.0)
| | angina = FALSE
| | | age <= 62
| | | | age <= 53: Healthy (2.0)
| | | | age > 53: Sick (4.0)
| | | age > 62: Healthy (5.0)
| #colored-vessels = 3: Sick (6.0/1.0)
thal = Fix
| #colored-vessels = 0
| | angina = TRUE: Sick (3.0/1.0)
| | angina = FALSE: Healthy (5.0)
| #colored-vessels = 1: Sick (4.0)
| #colored-vessels = 2: Sick (4.0)
| #colored-vessels = 3: Sick (2.0)
Number of Leaves : 32
Size of the tree : 49
Time taken to build model: 0.03 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 222 73.2673 %
Incorrectly Classified Instances 81 26.7327 %
Kappa statistic 0.4601
Mean absolute error 0.3067
Root mean squared error 0.4661
Relative absolute error 61.8185 %
Root relative squared error 93.5807 %
Total Number of Instances 303
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure ROC Area Class
0.696 0.236 0.711 0.696 0.703 0.756 Sick
0.764 0.304 0.75 0.764 0.757 0.756 Healthy
Weighted Avg. 0.733 0.273 0.732 0.733 0.732 0.756
=== Confusion Matrix ===
a b <-- classified as
96 42 | a = Sick
39 126 | b = Healthy
的问题进行了
- 什么属性都J48选择作为顶级决策树的节点？
- 绘制一个图表，显示J48创建的决策树的前两个 级别的属性和值。
到目前为止，我只能解释有关正确分类的类的混淆矩阵。任何帮助，将不胜感激。