组合反射率因子/dBZ | 样本量 |
40.0~44.9 | 63 |
45.0~49.9 | 158 |
50.0~54.9 | 188 |
55.0~59.9 | 158 |
≥60.0 | 63 |
Citation: | Yuan Kai, Li Wujie, Pang Jing. Hail identification technology in Eastern Hubei based on decision tree algorithm. J Appl Meteor Sci, 2023, 34(2): 234-245. DOI: 10.11898/1001-7313.20230209. |
Table 1 Selection standard and corresponding quantity of non-hail samples
组合反射率因子/dBZ | 样本量 |
40.0~44.9 | 63 |
45.0~49.9 | 158 |
50.0~54.9 | 188 |
55.0~59.9 | 158 |
≥60.0 | 63 |
Table 2 Scores of different decision trees
决策树算法 | 命中率 | 虚警率 | 临界成功指数 |
强度决策树 | 0.88 | 0.12 | 0.80 |
强度-高度决策树 | 0.93 | 0.07 | 0.86 |
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Table 1 Selection standard and corresponding quantity of non-hail samples
组合反射率因子/dBZ | 样本量 |
40.0~44.9 | 63 |
45.0~49.9 | 158 |
50.0~54.9 | 188 |
55.0~59.9 | 158 |
≥60.0 | 63 |
Table 2 Scores of different decision trees
决策树算法 | 命中率 | 虚警率 | 临界成功指数 |
强度决策树 | 0.88 | 0.12 | 0.80 |
强度-高度决策树 | 0.93 | 0.07 | 0.86 |