基于孤立森林的水体异常快速发现与识别
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朱秀芳,李原,郭锐
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Rapid Detection and Identification of Water Anomalies based on Isolated Forest
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Xiufang ZHU,Yuan LI,Rui GUO
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表3 精度验证
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Table 3 Accuracy verification
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案例 | 方法 | PA | UA | OA | Kappa |
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青岛浒苔 | SVM | 0.94 | 0.99 | 0.97 | 0.95 | S-IForest | 0.84 | 0.90 | 0.90 | 0.79 | U-IForest- IQR | 0.76 | 0.95 | 0.88 | 0.75 | U-IForest- 1.5IQR | 0.76 | 0.96 | 0.89 | 0.77 | U-IForest- SD | 0.78 | 0.99 | 0.90 | 0.80 | U-IForest- 2SD | 0.72 | 0.96 | 0.87 | 0.72 | UPCA-U-IForest-SD | 0.80 | 0.96 | 0.90 | 0.80 | 松雅湖 黑臭水 | SVM | 0.99 | 0.99 | 0.99 | 0.99 | S-IForest | 0.99 | 0.85 | 0.94 | 0.87 | U-IForest- IQR | 0.43 | 0.86 | 0.80 | 0.46 | U-IForest- 1.5IQR | 0.04 | 0.45 | 0.67 | 0.02 | U-IForest- SD | 0.97 | 0.97 | 0.96 | 0.90 | U-IForest- 2SD | 0.08 | 0.55 | 0.68 | 0.07 | UPCA-U-IForest-SD | 0.99 | 0.93 | 0.97 | 0.95 | 墨西哥湾溢油 | SVM | 0.91 | 0.99 | 0.98 | 0.94 | S-IForest | 0.47 | 0.97 | 0.86 | 0.56 | U-IForest- IQR | 0.34 | 0.86 | 0.77 | 0.38 | U-IForest- 1.5IQR | 0.11 | 0.97 | 0.80 | 0.17 | U-IForest- SD | 0.84 | 0.95 | 0.94 | 0.85 | U-IForest- 2SD | 0.33 | 0.86 | 0.77 | 0.37 | UPCA-U-IForest-SD | 0.80 | 0.76 | 0.88 | 0.70 |
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