面向概念漂移数据流的在线集成自适应算法
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崔瑞华, 綦小龙, 刘艳芳, 林玲
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Online ensemble adaptive algorithm for concept drift of streaming data
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Ruihua Cui, Xiaolong Qi, Yanfang Liu, Ling Lin
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表3 各对比算法在真实数据集上的实验结果对比
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Table 3 Experimental results of different algorithms on real datasets
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| 算法 | ARF⁃HDDM_A | SRP⁃HDDM_W | SRP⁃KSWIN | ARF⁃KSWIN | KSHPR |
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| electricity | Accuracy | 85.21% | 85.65% | 83.24% | 84.15% | 87.69% | | Precision | 83.36% | 85.29% | 82.25% | 84.52% | 86.52% | | Recall | 83.73% | 85.03% | 82.67% | 84.09% | 85.18% | | F1⁃Score | 83.93% | 85.14% | 82.80% | 84.29% | 85.76% | | phishing | Accuracy | 92.79% | 93.18% | 92.21% | 92.40% | 94.32% | | Precision | 92.36% | 92.33% | 92.13% | 93.15% | 94.56% | | Recall | 92.38% | 92.20% | 91.96% | 93.09% | 95.38% | | F1⁃Score | 92.54% | 92.29% | 92.04% | 93.09% | 94.97% | | spam | Accuracy | 88.73% | 88.04% | 85.66% | 87.27% | 91.42% | | Precision | 88.73% | 87.42% | 88.75% | 88.63% | 90.02% | | Recall | 82.88% | 82.42% | 84.62% | 81.53% | 85.54% | | F1⁃Score | 84.61% | 83.43% | 85.21% | 83.24% | 84.71% |
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