基于密度峰值聚类和局部稀疏度的过采样算法
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吕佳, 郭铭
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Oversampling algorithm based on density peaks clustering and local sparsity
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Lü Jia, Ming Guo
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表3 各算法在KNN分类器上的各指标评价结果
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Table 3 Evaluation results of each index of each algorithm on the KNN classifier
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Datasets | Evaluation | SMO | Bor | Safe | ADAS | SM⁃IPF | K⁃m S | ADAP | RSM | DPCLSO |
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D1 | F1⁃measure | 62.0333% | 62.1173% | 55.6688% | 61.5440% | 60.4950% | 54.6957% | 48.7924% | 58.6876% | 62.2829% | G⁃mean | 79.6812% | 78.4615% | 71.2518% | 80.0162% | 77.9393% | 73.2348% | 66.9467% | 75.8509% | 80.0405% | D2 | F1⁃measure | 85.9964% | 86.7993% | 86.3374% | 85.3952% | 87.9143% | 86.8775% | 85.4217% | 87.0937% | 88.2993% | G⁃mean | 90.3121% | 90.6767% | 90.2701% | 90.1816% | 92.0551% | 90.7103% | 89.7805% | 90.8855% | 91.7266% | D3 | F1⁃measure | 78.2442% | 76.8568% | 77.7085% | 77.4810% | 78.2107% | 78.4768% | 77.6307% | 77.4382% | 78.4280% | G⁃mean | 81.6440% | 80.5218% | 81.3824% | 80.7309% | 81.5465% | 82.1207% | 81.3010% | 81.2429% | 82.0311% | D4 | F1⁃measure | 56.6667% | 55.2083% | 56.7912% | 59.7166% | 65.1515% | 54.7297% | 46.1047% | 42.0513% | 57.8748% | G⁃mean | 59.6238% | 57.3185% | 58.2452% | 55.3644% | 49.1523% | 55.8029% | 53.8242% | 50.2559% | 61.3867% | D5 | F1⁃measure | 52.7560% | 49.7018% | 48.9448% | 53.0428% | 49.9616% | 52.7413% | 47.9911% | 54.4706% | 56.0870% | G⁃mean | 63.3895% | 60.4853% | 61.1482% | 63.3134% | 58.5940% | 64.5689% | 60.4762% | 66.0340% | 67.4871% | D6 | F1⁃measure | 56.3467% | 59.7222% | 61.1111% | 51.6340% | 52.3810% | 56.8627% | 60.7692% | 50.0000% | 60.0000% | G⁃mean | 76.4860% | 79.4070% | 81.3536% | 73.2013% | 71.7161% | 78.1713% | 75.9926% | 71.8818% | 81.2447% | D7 | F1⁃measure | 84.0336% | 81.1765% | 80.3571% | 84.0336% | 80.3571% | 81.1765% | 77.5000% | 74.3421% | 84.0336% | G⁃mean | 87.5140% | 84.9819% | 84.3065% | 87.5140% | 84.3065% | 84.9819% | 81.7744% | 79.0784% | 87.5140% | D8 | F1⁃measure | 51.3191% | 46.2766% | 46.9176% | 47.8095% | 52.1569% | 41.8762% | 41.2782% | 49.5541% | 49.7459% | G⁃mean | 65.7490% | 61.4930% | 62.1053% | 62.1248% | 65.7728% | 56.9598% | 57.9467% | 64.6729% | 64.4944% | D9 | F1⁃measure | 95.7412% | 94.7253% | 95.7412% | 92.5052% | 93.5185% | 94.392% | 93.5185% | 95.7412% | 95.7412% | G⁃mean | 97.8306% | 96.8547% | 97.8306% | 95.8093% | 96.7736% | 97.3521% | 96.7736% | 97.8306% | 97.8306% | D10 | F1⁃measure | 83.3056% | 84.1304% | 84.4078% | 81.6459% | 81.8952% | 82.5409% | 84.6341% | 85.6083% | 85.1662% | G⁃mean | 88.7784% | 89.1231% | 89.5641% | 87.4620% | 87.7329% | 88.2285% | 89.8910% | 90.3583% | 90.3027% | D11 | F1⁃measure | 79.6456% | 78.5138% | 79.6987% | 78.2845% | 79.4329% | 77.8749% | 80.5446% | 77.1168% | 81.0368% | G⁃mean | 77.2319% | 76.3439% | 78.7317% | 75.6164% | 75.5961% | 74.9554% | 78.3277% | 77.3277% | 79.6327% | D12 | F1⁃measure | 99.0321% | 99.1194% | 99.0758% | 98.9376% | 98.7178% | 99.0757% | 98.8969% | 98.8541% | 99.9314% | G⁃mean | 99.5399% | 99.5500% | 99.5449% | 99.5299% | 99.5046% | 99.5449% | 99.5248% | 99.5197% | 99.5599% | D13 | F1⁃measure | 69.0476% | 67.8161% | 68.0672% | 68.6275% | 73.8095% | 70.0000% | 68.2870% | 69.2951% | 73.2252% | G⁃mean | 58.1695% | 61.5895% | 60.5979% | 60.7131% | 65.6850% | 63.2075% | 64.1788% | 66.7669% | 66.5811% | D14 | F1⁃measure | 99.0909% | 99.0210% | 98.6777% | 98.2524% | 96.9538% | 99.1010% | 98.2712% | 96.1969% | 99.1211% | G⁃mean | 99.7417% | 99.6118% | 99.5918% | 99.7903% | 99.0551% | 99.6118% | 99.5517% | 99.5119% | 99.5852% | D15 | F1⁃measure | 69.6581% | 72.2222% | 61.8421% | 71.0084% | 70.8333% | 64.7727% | 70.8333% | 75.7143% | 74.7727% | G⁃mean | 77.0973% | 77.1389% | 72.3167% | 78.1661% | 74.0852% | 69.4628% | 74.0852% | 84.0976% | 79.3485% | D16 | F1⁃measure | 95.5630% | 95.5493% | 95.2310% | 96.0512% | 94.5915% | 95.4878% | 95.9256% | 94.4447% | 96.5470% | G⁃mean | 98.4711% | 97.9041% | 98.0402% | 98.4924% | 97.3255% | 98.0329% | 98.4806% | 98.4967% | 98.4418% | D17 | F1⁃measure | 98.5657% | 98.6980% | 98.2979% | 98.7261% | 98.2305% | 98.8469% | 98.4576% | 98.6974% | 98.9396% | G⁃mean | 99.2300% | 99.4004% | 99.0884% | 99.3136% | 99.0321% | 99.3256% | 99.1593% | 99.2671% | 99.3602% | D18 | F1⁃measure | 98.7282% | 99.3010% | 98.1242% | 98.6898% | 98.2638% | 99.1763% | 98.7282% | 99.3025% | 99.3043% | G⁃mean | 98.7595% | 99.3234% | 98.1586% | 98.7161% | 98.3042% | 99.2945% | 98.7595% | 99.3003% | 99.3043% |
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