研究文章

一种特征选择算法集成最大分类信息和最小依赖信息交互功能

表4

平均C4.5分类器的分类精度(%)。

数据集 NDCRFS 假正经的 IG-RFE iwf 多边化 dwf CIFE

淋巴管造影 43.935 41.893 41.473 41.347 42.322 43.002 42.322
皮肤病学 95.021 94.434 94.149 94.187 95.021 93.337 94.727
Cardiotocography 98.401 98.401 98.401 98.401 98.401 98.401 98.401
Pendigits 94.569 94.343 94.196 93.782 93.768 94.222 93.675
87.774 79.918 85.113 75.964 83.842 84.157 77.236
Carcinom 70.604 54.586 25.79 48.292 56.822 53.999 24.3
Nci9 69.929 61.012 65.095 60.667 71.083 57.929 60.226
PCMAC 87.906 86.464 86.515 82.502 85.897 86.669 80.805
Pixraw10P 99.0 97.0 96.0 92.0 95.0 92.0 95.0
烟- - - - - - - 187 64.125 62.006 61.494 63.656 62.077 65.747 57.852
淋巴瘤 87.75 79.75 80.0 69.528 82.806 69.417 86.917
COIL20 79.876 67.614 72.762 63.186 62.895 70.629 58.295
平均准确率 81.574 76.452 75.082 73.626 77.495 75.792 72.48
赢/领带/损失 11/1/0 11/1/0 11/1/0 10/1/1 10/1/1 11/1/0