基于SMA算法优化随机森林的PPV预测模型
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邓红卫,罗亮
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PPV Prediction Model Based on Random Forest Optimized by SMA Algorithm
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Hongwei DENG,Liang LUO
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表7 6组经验公式的常量项及拟合评价指标
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Table 7 Constant terms and fitting evaluation indexes of six groups of empirical formulas
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经验公式 | 参数 | 评价指标 |
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K | B | A | n | MAE | R2 | RMSE | MEDEA |
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USBM | 13.1027 | 0.7479 | - | - | 3.0944 | 0.0195 | 5.6826 | 1.6959 | Lang-Kihl | 0.2867 | 1.9959 | - | - | 2.8063 | 0.1031 | 4.3341 | 1.4054 | General | 9.3569e-5 | 0.5392 | 2.1427 | - | 2.2920 | 0.2649 | 3.7887 | 0.1357 | Amb-Hend | 24.9367 | 0.6897 | - | - | 3.1793 | 0.0079 | 4.5676 | 1.8497 | Indian Standard | 6.1020 | 0.7806 | - | - | 3.0219 | 0.0341 | 4.5570 | 1.7112 | CMRIP | 12.9205 | - | - | 1.1330 | 3.1571 | 0.0094 | 4.5826 | 1.6516 |
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