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4 各算法在Random Forest分类器上的各个指标评价结果
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Table 4 Evaluation results of each index of each algorithm on the Random Forest 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 | 90.6709% | 97.6623% | 92.3217% | 96.7532% | 90.8537% | 94.6580% | 95.5152% | 94.1239% | 98.5641% | | G⁃mean | 95.2461% | 97.7890% | 95.7880% | 98.3726% | 96.3308% | 96.5675% | 97.9535% | 98.0415% | 99.1089% | | D2 | F1⁃measure | 81.8589% | 85.6321% | 84.9480% | 83.0939% | 83.2347% | 84.6951% | 84.5597% | 85.0680% | 86.1102% | | G⁃mean | 86.4057% | 89.7323% | 89.0247% | 87.7998% | 88.0274% | 88.6122% | 88.3136% | 89.0348% | 90.1449% | | D3 | F1⁃measure | 92.0729% | 92.0027% | 91.9530% | 91.7707% | 89.4000% | 91.8976% | 92.2054% | 91.7536% | 92.1298% | | G⁃mean | 93.6905% | 93.5232% | 93.3898% | 93.3818% | 91.3498% | 93.3722% | 93.5795% | 93.2385% | 93.6200% | | D4 | F1⁃measure | 64.5992% | 62.3709% | 59.6078% | 62.7903% | 59.9194% | 61.0649% | 60.8345% | 61.5568% | 64.6409% | | G⁃mean | 67.1170% | 64.6089% | 62.2487% | 63.8087% | 41.3795% | 62.8179% | 64.8092% | 64.5395% | 67.5858% | | D5 | F1⁃measure | 51.7652% | 51.8004% | 54.4513% | 48.3501% | 52.3519% | 54.1108% | 53.5563% | 51.4006% | 53.6928% | | G⁃mean | 62.8859% | 62.8798% | 65.1517% | 60.0904% | 64.0961% | 64.5052% | 64.0665% | 62.8836% | 64.5460% | | D6 | F1⁃measure | 54.0671% | 46.8065% | 47.9250% | 42.8420% | 48.7296% | 43.0843% | 44.2958% | 47.8398% | 55.4072% | | G⁃mean | 73.3234% | 66.3916% | 67.9502% | 65.4356% | 70.4429% | 63.9262% | 63.5712% | 67.8754% | 75.6030% | | D7 | F1⁃measure | 85.3300% | 87.3711% | 87.7565% | 85.3962% | 80.8829% | 85.4548% | 86.1940% | 86.3410% | 89.4372% | | G⁃mean | 88.0239% | 89.5964% | 89.5145% | 88.4350% | 84.1845% | 88.0619% | 88.4730% | 88.2307% | 90.9879% | | D8 | F1⁃measure | 51.1653% | 48.5114% | 52.7296% | 47.0887% | 53.3318% | 49.3093% | 47.9999% | 51.1118% | 52.9969% | | G⁃mean | 63.9683% | 61.9052% | 65.3732% | 60.5885% | 64.3949% | 62.6383% | 61.2848% | 64.2067% | 65.7240% | | D9 | F1⁃measure | 94.1638% | 93.6029% | 93.8141% | 92.6962% | 93.3060% | 93.8845% | 93.1508% | 93.8321% | 94.5209% | | G⁃mean | 95.9574% | 95.2493% | 95.7804% | 94.7729% | 95.3362% | 95.8004% | 95.1061% | 95.8240% | 96.3447% | | D10 | F1⁃measure | 83.2339% | 82.3063% | 82.0069% | 82.3937% | 81.7358% | 82.0862% | 82.9586% | 83.1568% | 83.3381% | | G⁃mean | 88.1863% | 86.9737% | 86.7420% | 87.6875% | 87.6375% | 87.4105% | 87.8475% | 88.1125% | 88.2262% | | D11 | F1⁃measure | 77.0901% | 76.7172% | 76.9860% | 76.6018% | 79.9519% | 77.2552% | 77.2467% | 76.1814% | 78.8932% | | G⁃mean | 78.1902% | 77.8985% | 77.8975% | 77.5758% | 79.5166% | 78.3964% | 78.4043% | 77.4141% | 80.2633% | | D12 | F1⁃measure | 97.4557% | 97.3688% | 97.8214% | 97.3651% | 94.8871% | 97.4840% | 97.0970% | 97.8501% | 97.5070% | | G⁃mean | 98.4767% | 98.0245% | 98.5630% | 98.3665% | 96.4680% | 98.1916% | 98.2208% | 98.4285% | 98.7891% | | D13 | F1⁃measure | 72.5802% | 72.9477% | 72.1871% | 73.9721% | 70.0999% | 70.6548% | 75.7488% | 70.7328% | 75.0237% | | G⁃mean | 74.0201% | 74.5555% | 74.0323% | 73.7829% | 69.1405% | 70.6940% | 76.3049% | 71.3652% | 77.3360% | | D14 | F1⁃measure | 92.5700% | 93.3006% | 93.7434% | 94.1998% | 88.1873% | 92.2087% | 92.7789% | 92.7552% | 93.0408% | | G⁃mean | 94.2282% | 94.5115% | 94.7542% | 95.1248% | 91.2529% | 93.0817% | 94.6443% | 94.2959% | 94.2480% | | D15 | F1⁃measure | 68.4615% | 70.0000% | 63.6364% | 78.4615% | 53.3333% | 67.2727% | 65.7143% | 68.6415% | 70.6061% | | G⁃mean | 74.8425% | 78.5644% | 71.3957% | 80.3533% | 60.3553% | 71.4435% | 74.7961% | 74.8655% | 75.9740% | | D16 | F1⁃measure | 87.7604% | 86.2575% | 88.0239% | 88.8134% | 80.9454% | 85.1676% | 88.5639% | 87.0832% | 86.1974% | | G⁃mean | 91.2486% | 89.1500% | 90.9489% | 92.2731% | 85.0772% | 88.5405% | 91.9600% | 91.1035% | 92.9946% | | D17 | F1⁃measure | 97.4588% | 97.2423% | 97.1397% | 96.7293% | 97.1309% | 97.6680% | 97.0848% | 97.6840% | 97.7708% | | G⁃mean | 98.0740% | 97.778% | 97.8242% | 97.6311% | 97.8802% | 98.0869% | 97.8347% | 98.2998% | 97.7063% | | D18 | F1⁃measure | 97.1561% | 96.3506% | 96.6975% | 96.8042% | 96.3382% | 96.9671% | 96.6692% | 97.2820% | 97.2836% | | G⁃mean | 97.2626% | 96.4719% | 96.8070% | 96.9031% | 96.4385% | 97.0726% | 96.7803% | 97.3824% | 97.3885% |
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