feat: 完成共享单车课程设计

outputs/analysis_summary.json

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+{
+  "data": {
+    "rows": 731,
+    "columns": 16,
+    "future_rows": 100,
+    "missing": {
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+    "duplicate_dates": 0,
+    "target_min": 22,
+    "target_max": 8714,
+    "target_mean": 4504.3488372093025
+  },
+  "initial_comparison": [
+    {
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+      "RMSE": 651.1440567037434,
+      "MAE": 448.99523765137667,
+      "R2": 0.8942640825672749
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+    {
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+      "RMSE": 703.9966504917254,
+      "MAE": 450.0664823777129,
+      "R2": 0.8764025354772573
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+    {
+      "模型": "支持向量回归",
+      "RMSE": 738.1033329574317,
+      "MAE": 529.5340809792003,
+      "R2": 0.8641365279788986
+    },
+    {
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+      "RMSE": 796.4617765623753,
+      "MAE": 583.0197588300691,
+      "R2": 0.8418029967286178
+    },
+    {
+      "模型": "神经网络",
+      "RMSE": 809.7923656712804,
+      "MAE": 609.9584660642089,
+      "R2": 0.836463110808386
+    }
+  ],
+  "best_model": "梯度提升树",
+  "best_test_metrics": {
+    "模型": "梯度提升树",
+    "RMSE": 651.1440567037434,
+    "MAE": 448.99523765137667,
+    "R2": 0.8942640825672749
+  },
+  "cross_validation": {
+    "模型": "梯度提升树",
+    "RMSE均值": 655.1166606641779,
+    "RMSE标准差": 42.75460340121525,
+    "MAE均值": 466.577603572732,
+    "MAE标准差": 14.719481812429436,
+    "R2均值": 0.8818566774188483,
+    "R2标准差": 0.023087453303387278
+  },
+  "importance_method": "GradientBoostingRegressor 内置重要性",
+  "top_features": {
+    "气温": 0.38973625494728426,
+    "年": 0.2984069767787937,
+    "季节": 0.0932052430981216,
+    "体感温度": 0.07101028400532663,
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+    "天气": 0.029590235728090393,
+    "风速": 0.026177907657402667,
+    "月": 0.01607120463407045
+  },
+  "future_prediction": {
+    "min": 1319,
+    "max": 6025,
+    "mean": 3775.15
+  },
+  "outputs": {
+    "figures": [
+      "/root/bike_course_design/outputs/figures/actual_vs_predicted.png",
+      "/root/bike_course_design/outputs/figures/feature_importance.png",
+      "/root/bike_course_design/outputs/figures/future_prediction_trend.png",
+      "/root/bike_course_design/outputs/figures/historical_trend.png",
+      "/root/bike_course_design/outputs/figures/residual_distribution.png"
+    ],
+    "best_model": "/root/bike_course_design/outputs/models/best_bike_demand_model.pkl",
+    "prediction_excel": "/root/bike_course_design/outputs/2013前100天骑行量预测结果.xlsx"
+  }
+}

outputs/cross_validation_summary.csv

@@ -0,0 +1,2 @@
+模型,RMSE均值,RMSE标准差,MAE均值,MAE标准差,R2均值,R2标准差
+梯度提升树,655.1166606641779,42.75460340121525,466.577603572732,14.719481812429436,0.8818566774188483,0.023087453303387278

outputs/feature_importance.csv

@@ -0,0 +1,12 @@
+,重要性
+气温,0.38973625494728426
+年,0.2984069767787937
+季节,0.0932052430981216
+体感温度,0.07101028400532663
+湿度,0.05891447646010377
+天气,0.029590235728090393
+风速,0.026177907657402667
+月,0.01607120463407045
+星期,0.00832340663049113
+工作日,0.004855667817542203
+节假日,0.003708342242773187

outputs/model_comparison.csv

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+模型,RMSE,MAE,R2
+梯度提升树,651.1440567037434,448.99523765137667,0.8942640825672749
+随机森林,703.9966504917254,450.0664823777129,0.8764025354772573
+支持向量回归,738.1033329574317,529.5340809792003,0.8641365279788986
+线性回归,796.4617765623753,583.0197588300691,0.8418029967286178
+神经网络,809.7923656712804,609.9584660642089,0.836463110808386

outputs/test_set_predictions.csv

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