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01_分类报告.txt
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01_分类报告.txt
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随机森林 - 分类报告
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==================================================
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准确率: 0.2000
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precision recall f1-score support
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中度 0.17 0.17 0.17 6
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极重度 0.33 0.33 0.33 9
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轻度 0.17 0.20 0.18 10
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轻微 0.17 0.14 0.15 7
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重度 0.14 0.12 0.13 8
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accuracy 0.20 40
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macro avg 0.20 0.19 0.19 40
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weighted avg 0.20 0.20 0.20 40
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决策树准确率: 0.1500
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02_混淆矩阵.png
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02_混淆矩阵.png
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03_特征重要性.png
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03_特征重要性.png
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04_特征重要性.csv
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04_特征重要性.csv
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特征,重要性分数
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湿度_%,0.15141699171542286
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纬度,0.14931218701658863
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经度,0.14621280907970782
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温度_℃,0.14460801529455541
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病害编码,0.1272387182769803
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作物编码,0.10275315955691904
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地区编码,0.09393894108755316
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部位编码,0.08451917797227279
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05_预测结果.txt
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05_预测结果.txt
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模型预测结果
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==================================================
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随机森林准确率: 0.2000
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决策树准确率: 0.1500
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样本1: 水稻/稻瘟病 => 预测严重程度: 轻度
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样本2: 小麦/锈病 => 预测严重程度: 重度
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样本3: 玉米/大斑病 => 预测严重程度: 轻微
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