Number of instances: 700
Number of attributes: 5236
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure ROC Area Class
0.93 0.002 0.989 0.93 0.959 0.997 体育
0.93 0.01 0.939 0.93 0.935 0.97 城市
0.92 0.023 0.868 0.92 0.893 0.978 娱乐
0.93 0.005 0.969 0.93 0.949 0.991 房产
0.84 0.043 0.764 0.84 0.8 0.954 新闻
0.84 0.018 0.884 0.84 0.862 0.95 科技
0.83 0.028 0.83 0.83 0.83 0.951 财经
Correctly Classified Instances 622 88.8571 %
Incorrectly Classified Instances 78 11.1429 %
Kappa statistic 0.87
Mean absolute error 0.2064
Root mean squared error 0.3049
Relative absolute error 84.2857 %
Root relative squared error 87.1311 %
Total Number of Instances 700
=== Confusion Matrix ===
a b c d e f g <-- classified as
93 0 1 0 5 1 0 | a = 体育
0 93 1 0 4 0 2 | b = 城市
0 0 92 0 6 2 0 | c = 娱乐
0 1 2 93 0 2 2 | d = 房产
0 2 7 0 84 1 6 | e = 新闻
1 1 2 0 5 84 7 | f = 科技
0 2 1 3 6 5 83 | g = 财经
https://wap.sciencenet.cn/blog-713110-636801.html
上一篇:
采用新的策略,分类的各项指标明显提升下一篇:
对weka 度量分类模型优劣指标的说明