美年健康AI大赛—双高疾病风险预测总结(中药世家).zip

上传者: zy_dreamer | 上传时间: 2024-04-09 16:45:00 | 文件大小: 49KB | 文件类型: ZIP
AI
美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考 美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考 美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考 美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考 美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考 美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考 美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考 美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考 美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考美赛竞赛资源,竞赛解决方案,包含完整源码解决方案内容,可用于参赛学习、参考

文件下载

资源详情

[{"title":"( 43 个子文件 49KB ) 美年健康AI大赛—双高疾病风险预测总结(中药世家).zip","children":[{"title":"competition","children":[{"title":".gitattributes <span style='color:#111;'> 66B </span>","children":null,"spread":false},{"title":"submit","children":[{"title":"result_prepare.py <span style='color:#111;'> 928B </span>","children":null,"spread":false}],"spread":true},{"title":"final_code","children":[{"title":"Readme.md <span style='color:#111;'> 3.11KB </span>","children":null,"spread":false},{"title":"code","children":[{"title":"evalerror.py <span style='color:#111;'> 403B </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 40.42KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".gitignore <span style='color:#111;'> 99B </span>","children":null,"spread":false},{"title":"Readme.md <span style='color:#111;'> 7.90KB </span>","children":null,"spread":false},{"title":"code","children":[{"title":"feature","children":[{"title":"feature_selection3.py <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false},{"title":"feature_selection4.py <span style='color:#111;'> 4.04KB </span>","children":null,"spread":false},{"title":"feature_selection2.py <span style='color:#111;'> 979B </span>","children":null,"spread":false},{"title":"feature_selection5.py <span style='color:#111;'> 4.54KB </span>","children":null,"spread":false},{"title":"feature_select","children":[{"title":"feature_selection_new.py <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"feature_change.py <span style='color:#111;'> 15.66KB </span>","children":null,"spread":false}],"spread":true},{"title":"feature_select_new2","children":[{"title":"feature_selection_new.py <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"feature_change.py <span style='color:#111;'> 31.83KB </span>","children":null,"spread":false},{"title":"feature_selection_new2.py <span style='color:#111;'> 1.84KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"other","children":[{"title":"train_scoring.py <span style='color:#111;'> 7.87KB </span>","children":null,"spread":false},{"title":"false_sample_train.py <span style='color:#111;'> 1004B </span>","children":null,"spread":false},{"title":"scoring_test.py <span style='color:#111;'> 2.13KB </span>","children":null,"spread":false},{"title":"watch_train.py <span style='color:#111;'> 939B </span>","children":null,"spread":false}],"spread":true},{"title":"paramter","children":[{"title":"parameter_xgb.py <span style='color:#111;'> 1.02KB </span>","children":null,"spread":false},{"title":"parameter_rf.py <span style='color:#111;'> 2.27KB </span>","children":null,"spread":false},{"title":"parameter_lbgm.py <span style='color:#111;'> 2.00KB </span>","children":null,"spread":false},{"title":"parameter_svr.py <span style='color:#111;'> 908B </span>","children":null,"spread":false},{"title":"part_predictor_lgb.py <span style='color:#111;'> 3.37KB </span>","children":null,"spread":false},{"title":"paramter_xgb_2.py <span style='color:#111;'> 2.54KB </span>","children":null,"spread":false},{"title":"part_parameter_lgb.py <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false}],"spread":true},{"title":"predictor","children":[{"title":"predictor_lbgm_2.py <span style='color:#111;'> 3.01KB </span>","children":null,"spread":false},{"title":"predictor_svm.py <span style='color:#111;'> 1.56KB </span>","children":null,"spread":false},{"title":"predictor_lbgm.py <span style='color:#111;'> 2.48KB </span>","children":null,"spread":false},{"title":"predictor_lbgm_medium.py <span style='color:#111;'> 3.31KB </span>","children":null,"spread":false},{"title":"preditor_xbg.py <span style='color:#111;'> 2.94KB </span>","children":null,"spread":false},{"title":"predictor_randomfrest.py <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false}],"spread":true},{"title":"propressing","children":[{"title":"train_prepare_error.py <span style='color:#111;'> 2.73KB </span>","children":null,"spread":false},{"title":"train_prepare1.py <span style='color:#111;'> 2.57KB </span>","children":null,"spread":false},{"title":"train_prepare.py <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"train_selection.py <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"train_perpare_error_pred2.py <span style='color:#111;'> 2.39KB </span>","children":null,"spread":false},{"title":"train_prepare_mean_error.py <span style='color:#111;'> 3.11KB </span>","children":null,"spread":false},{"title":"train_drop_error_part.py <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"train_prepare_mean.py <span style='color:#111;'> 2.60KB </span>","children":null,"spread":false},{"title":"propressing.py <span style='color:#111;'> 867B </span>","children":null,"spread":false},{"title":"train_fold_part.py <span style='color:#111;'> 6.15KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"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