金融人工智能课程结业作业。作业内容:“魔镜杯”风控算法大赛(https://www.kesci.com/apps/home/competition/56cd5f

上传者: 44510615 | 上传时间: 2021-07-08 11:15:30 | 文件大小: 79.26MB | 文件类型: ZIP
金融人工智能课程结业作业。作业内容: “魔镜杯”风控算法大赛(https://www.kesci.com/apps/home/competition/56cd5f02b89b5bd026cb39c9/content/0)是一个风控算法比赛 。 尝试对初赛的训练集构建合适的模型,并使用复赛数据的训练集验证模型的性能。要求模型在复赛数据上的AUC值达到0.7或以上 。

文件下载

资源详情

[{"title":"( 39 个子文件 79.26MB ) 金融人工智能课程结业作业。作业内容:“魔镜杯”风控算法大赛(https://www.kesci.com/apps/home/competition/56cd5f","children":[{"title":"ppd_-finaltest","children":[{"title":"README.en.md <span style='color:#111;'> 847B </span>","children":null,"spread":false},{"title":"PPD-First-Round-Data-Update","children":[{"title":"df_Master_tackled.csv <span style='color:#111;'> 38.40MB </span>","children":null,"spread":false},{"title":"df_Master.csv <span style='color:#111;'> 35.77MB </span>","children":null,"spread":false},{"title":"Training Set","children":[{"title":"PPD_Userupdate_Info_3_1_Training_Set.csv <span style='color:#111;'> 14.61MB </span>","children":null,"spread":false},{"title":"PPD_LogInfo_3_1_Training_Set.csv <span style='color:#111;'> 18.08MB </span>","children":null,"spread":false},{"title":"PPD_Training_Master_GBK_3_1_Training_Set.csv <span style='color:#111;'> 19.35MB </span>","children":null,"spread":false}],"spread":true},{"title":"update_feature.csv <span style='color:#111;'> 11.11MB </span>","children":null,"spread":false},{"title":"Test Set","children":[{"title":"PPD_Userupdate_Info_2_Test_Set.csv <span style='color:#111;'> 9.76MB </span>","children":null,"spread":false},{"title":"PPD_Master_GBK_2_Test_Set.csv <span style='color:#111;'> 12.86MB </span>","children":null,"spread":false},{"title":"PPD_LogInfo_2_Test_Set.csv <span style='color:#111;'> 12.02MB </span>","children":null,"spread":false}],"spread":true},{"title":"mydf_final_fea_selected.csv <span style='color:#111;'> 35.87MB </span>","children":null,"spread":false},{"title":"log_info_feature.csv <span style='color:#111;'> 1.13MB </span>","children":null,"spread":false},{"title":"df_LogInfo.csv <span style='color:#111;'> 30.10MB </span>","children":null,"spread":false},{"title":"df_Userupdate.csv <span style='color:#111;'> 24.38MB </span>","children":null,"spread":false}],"spread":true},{"title":"PPD-Second-Round-Data(en)","children":[{"title":"second round test data","children":[{"title":"LogInfo_9w_1.csv <span style='color:#111;'> 6.02MB </span>","children":null,"spread":false},{"title":"Userupdate_Info_9w_1.csv <span style='color:#111;'> 4.88MB </span>","children":null,"spread":false},{"title":"Kesci_Master_9w_gbk_1_test_set.csv <span style='color:#111;'> 6.43MB </span>","children":null,"spread":false}],"spread":true},{"title":"first round train data","children":[{"title":"PPD_Userupdate_Info_3_1_Training_Set.csv <span style='color:#111;'> 14.61MB </span>","children":null,"spread":false},{"title":"PPD_LogInfo_3_1_Training_Set.csv <span style='color:#111;'> 18.08MB </span>","children":null,"spread":false},{"title":"PPD_Training_Master_GBK_3_1_Training_Set.csv <span style='color:#111;'> 19.35MB </span>","children":null,"spread":false}],"spread":true},{"title":"first round test data","children":[{"title":"LogInfo_9w_2.csv <span style='color:#111;'> 12.02MB </span>","children":null,"spread":false},{"title":"Userupdate_Info_9w_2.csv <span style='color:#111;'> 9.76MB </span>","children":null,"spread":false},{"title":"Kesci_Master_9w_gbk_2.csv <span style='color:#111;'> 12.90MB </span>","children":null,"spread":false},{"title":"daily_test.csv <span style='color:#111;'> 96.46KB </span>","children":null,"spread":false},{"title":"final_test.csv <span style='color:#111;'> 115.98KB </span>","children":null,"spread":false}],"spread":true},{"title":"Data type description.xlsx <span style='color:#111;'> 12.80KB </span>","children":null,"spread":false},{"title":"second round newly added data","children":[{"title":"LogInfo_9w_3_2.csv <span style='color:#111;'> 18.07MB </span>","children":null,"spread":false},{"title":"Kesci_Master_9w_gbk_3_2.csv <span style='color:#111;'> 19.35MB </span>","children":null,"spread":false},{"title":"Userupdate_Info_9w_3_2.csv <span style='color:#111;'> 14.58MB </span>","children":null,"spread":false}],"spread":true},{"title":"readme.txt <span style='color:#111;'> 462B </span>","children":null,"spread":false}],"spread":true},{"title":"ppd_lgbm_opt.ipynb <span style='color:#111;'> 864.58KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 408B </span>","children":null,"spread":false},{"title":"jointable.ipynb <span style='color:#111;'> 181.88KB </span>","children":null,"spread":false},{"title":"loginfo.csv <span style='color:#111;'> 39.43MB </span>","children":null,"spread":false},{"title":"魔镜杯字段类型说明文档.xlsx <span style='color:#111;'> 11.92KB </span>","children":null,"spread":false},{"title":"location.ipynb <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"ppd_lgbm.ipynb <span style='color:#111;'> 591.24KB </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.30KB </span>","children":null,"spread":false},{"title":"finaltest.ipynb <span style='color:#111;'> 845.27KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明