smote的matlab代码-DataMiningCase:数据挖掘（实战代码/欢迎讨论/大量注释/机器学习）.你将习得，如：数据的处理、Li

[{"title":"（ 34 个子文件 24.47MB ） smote的matlab代码-DataMiningCase:数据挖掘（实战代码/欢迎讨论/大量注释/机器学习）.你将习得，如：数据的处理、Li","children":[{"title":"DataMiningCase-master","children":[{"title":"py","children":[{"title":"importance_plt.py <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"auc_plot.py <span style='color:#111;'> 1.62KB </span>","children":null,"spread":false},{"title":"metrics_ks.py <span style='color:#111;'> 1.18KB </span>","children":null,"spread":false},{"title":"train_5_cross.py <span style='color:#111;'> 6.08KB </span>","children":null,"spread":false},{"title":"over_smote_.py <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false},{"title":"just_num_leaves.py <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"train_2_cross.py <span style='color:#111;'> 4.27KB </span>","children":null,"spread":false},{"title":"kde_plt.py <span style='color:#111;'> 1.45KB </span>","children":null,"spread":false},{"title":"preprocessing.py <span style='color:#111;'> 3.16KB </span>","children":null,"spread":false},{"title":"bar_plt.py <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"rfecv_.py <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false},{"title":"corr_plt.py <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"metrics_plot.py <span style='color:#111;'> 2.59KB </span>","children":null,"spread":false},{"title":"model_fusion.py <span style='color:#111;'> 7.48KB </span>","children":null,"spread":false}],"spread":false},{"title":".gitattributes <span style='color:#111;'> 33B </span>","children":null,"spread":false},{"title":"notebook","children":[{"title":".ipynb_checkpoints","children":[{"title":"test_code-checkpoint.ipynb <span style='color:#111;'> 65.95KB </span>","children":null,"spread":false},{"title":"模型融合-checkpoint.ipynb <span style='color:#111;'> 82.62KB </span>","children":null,"spread":false},{"title":"测试py文件包-checkpoint.ipynb <span style='color:#111;'> 21.02KB </span>","children":null,"spread":false}],"spread":true},{"title":"test_code.ipynb <span style='color:#111;'> 65.95KB </span>","children":null,"spread":false},{"title":"py_bar","children":[{"title":"plt_data.py <span style='color:#111;'> 7.23KB </span>","children":null,"spread":false},{"title":"skdata.py <span style='color:#111;'> 17.24KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"skdata.cpython-37.pyc <span style='color:#111;'> 8.70KB </span>","children":null,"spread":false},{"title":"plt_data.cpython-37.pyc <span style='color:#111;'> 3.84KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"模型融合.ipynb <span style='color:#111;'> 82.62KB </span>","children":null,"spread":false},{"title":"测试py文件包.ipynb <span style='color:#111;'> 21.02KB </span>","children":null,"spread":false}],"spread":true},{"title":"doc","children":[{"title":"实验记录.xlsx <span style='color:#111;'> 12.08KB </span>","children":null,"spread":false},{"title":"实验分析.docx <span style='color:#111;'> 88.90KB </span>","children":null,"spread":false},{"title":"业务需求分析.md <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"assets","children":[{"title":"1576639374150.png <span style='color:#111;'> 96.63KB </span>","children":null,"spread":false},{"title":"model_fusion.png <span style='color:#111;'> 107.94KB </span>","children":null,"spread":false}],"spread":true},{"title":"数据理解.md <span style='color:#111;'> 800B </span>","children":null,"spread":false}],"spread":true},{"title":"assets","children":[{"title":"数据挖掘流程图.png <span style='color:#111;'> 205.46KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 6.06KB </span>","children":null,"spread":false},{"title":"data.zip <span style='color:#111;'> 23.78MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]