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雷达卡
=== Run information ===
Scheme: weka.classifiers.rules.DecisionTable -X 1 -S 5
Relation: iris
Instances: 150
Attributes: 5
sepallength
sepalwidth
petallength
petalwidth
class
Test mode: 10-fold cross-validation
=== Classifier model (full training set) ===
Decision Table:
Number of training instances: 150
Number of Rules : 6
Non matches covered by Majority class.
Best first search for feature set,
terminated after 5 non improving subsets.
Evaluation (for feature selection): CV (leave one out)
Feature set: 3,4,5
Time taken to build model: 0.05 seconds
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instances 139 92.6667 %
Incorrectly Classified Instances 11 7.3333 %
Kappa statistic 0.89
Mean absolute error 0.0602
Root mean squared error 0.2107
Relative absolute error 13.5405 %
Root relative squared error 44.6992 %
Total Number of Instances 150
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure Class
1 0 1 1 1 Iris-setosa
0.88 0.05 0.898 0.88 0.889 Iris-versicolor
0.9 0.06 0.882 0.9 0.891 Iris-virginica
=== Confusion Matrix ===
a b c <-- classified as
50 0 0 | a = Iris-setosa
0 44 6 | b = Iris-versicolor
0 5 45 | c = Iris-virginica
这是用WEKA分类分析的结果，老师要求对数据进行说明，可是好多东西不明白哦～
诸如TP rate……请哪位好心人能专业地说明一下以上数据，做个范例,小女子感激不尽……
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