{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":753832245,"defaultBranch":"main","name":"customer_churn_2024","ownerLogin":"McGill-MMA-EnterpriseAnalytics","currentUserCanPush":false,"isFork":false,"isEmpty":false,"createdAt":"2024-02-06T21:46:32.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/60543664?v=4","public":true,"private":false,"isOrgOwned":true},"refInfo":{"name":"","listCacheKey":"v0:1708918333.0","currentOid":""},"activityList":{"items":[{"before":"795e00e46493248951d302ddf53bb0c0dd237ec6","after":"04892063cd4c06b91bd55f2331750712a79781f9","ref":"refs/heads/main","pushedAt":"2024-02-26T03:32:13.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Tested new meta learners\n\nNo major performance differences when using random forest, SVC, Decision tree, and other meta learners in stacking model.","shortMessageHtmlLink":"Tested new meta learners"}},{"before":"5da9332028a7c5079c6f87d31208ea23cd2f3f75","after":"795e00e46493248951d302ddf53bb0c0dd237ec6","ref":"refs/heads/main","pushedAt":"2024-02-26T02:32:29.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Rename Modelling/SVM, stacking_v3.ipynb to Modelling/old ver/SVM, stacking_v3.ipynb\n\nmoved into old ver folder","shortMessageHtmlLink":"Rename Modelling/SVM, stacking_v3.ipynb to Modelling/old ver/SVM, sta…"}},{"before":"5bb0421318fe682bf5bf484dc213f1c659a82ce2","after":"5da9332028a7c5079c6f87d31208ea23cd2f3f75","ref":"refs/heads/main","pushedAt":"2024-02-26T02:31:52.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Rename Modelling/ANN,KNN,Decision Tree and Random Forest.ipynb to Modelling/old ver/ANN,KNN,Decision Tree and Random Forest.ipynb","shortMessageHtmlLink":"Rename Modelling/ANN,KNN,Decision Tree and Random Forest.ipynb to Mod…"}},{"before":"6b88e73196979122d1d3917f949e750a245da71f","after":"5bb0421318fe682bf5bf484dc213f1c659a82ce2","ref":"refs/heads/main","pushedAt":"2024-02-26T02:31:32.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Rename Modelling/ANN,KNN,Decision Tree and Random Forest - Updated with Learning Curve and F beta score.ipynb to Modelling/old ver/ANN,KNN,Decision Tree and Random Forest - Updated with Learning Curve and F beta score.ipynb","shortMessageHtmlLink":"Rename Modelling/ANN,KNN,Decision Tree and Random Forest - Updated wi…"}},{"before":"075823bb7cf692b192e92f6474b161834c5ebe10","after":"6b88e73196979122d1d3917f949e750a245da71f","ref":"refs/heads/main","pushedAt":"2024-02-23T21:51:09.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"Callme2YC","name":"Yichen Yu","path":"/Callme2YC","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/75711294?s=80&v=4"},"commit":{"message":"Add files via upload","shortMessageHtmlLink":"Add files via upload"}},{"before":"ae7ff7c73d458063c556d011934ceab721c294a4","after":"075823bb7cf692b192e92f6474b161834c5ebe10","ref":"refs/heads/main","pushedAt":"2024-02-23T21:48:49.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"Farahhoque","name":"Farah Hoque","path":"/Farahhoque","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/119197101?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"bb3eacb2626935d256a01607bb223138f897d6b2","after":"ae7ff7c73d458063c556d011934ceab721c294a4","ref":"refs/heads/main","pushedAt":"2024-02-23T21:47:44.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"Farahhoque","name":"Farah Hoque","path":"/Farahhoque","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/119197101?s=80&v=4"},"commit":{"message":"Add files via upload","shortMessageHtmlLink":"Add files via upload"}},{"before":"954b023690b9d3f291b2766f940ea23bd3357dda","after":"bb3eacb2626935d256a01607bb223138f897d6b2","ref":"refs/heads/main","pushedAt":"2024-02-23T14:23:57.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"Farahhoque","name":"Farah Hoque","path":"/Farahhoque","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/119197101?s=80&v=4"},"commit":{"message":"Add files via upload","shortMessageHtmlLink":"Add files via upload"}},{"before":"85cb2d646347e8c09e6fcd2323b8fdcf3a54350c","after":"954b023690b9d3f291b2766f940ea23bd3357dda","ref":"refs/heads/main","pushedAt":"2024-02-23T14:16:49.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"MeriemMhr","name":"Meriem Mehri","path":"/MeriemMhr","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/136912476?s=80&v=4"},"commit":{"message":"Add files via upload","shortMessageHtmlLink":"Add files via upload"}},{"before":"95ebc0aa64a05c05fc78e14e6e1a6000a8ad85cc","after":"85cb2d646347e8c09e6fcd2323b8fdcf3a54350c","ref":"refs/heads/main","pushedAt":"2024-02-23T03:20:03.000Z","pushType":"push","commitsCount":2,"pusher":{"login":"Farahhoque","name":"Farah Hoque","path":"/Farahhoque","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/119197101?s=80&v=4"},"commit":{"message":"Merge branch 'main' of https://github.com/McGill-MMA-EnterpriseAnalytics/customer_churn_2024","shortMessageHtmlLink":"Merge branch 'main' of https://github.com/McGill-MMA-EnterpriseAnalyt…"}},{"before":"0ca08203aa0366dab5b31ef0cd21900a8391a27f","after":"95ebc0aa64a05c05fc78e14e6e1a6000a8ad85cc","ref":"refs/heads/main","pushedAt":"2024-02-23T00:29:30.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"132713d584b1ed3da96b4ca202d2a8021f10797e","after":"0ca08203aa0366dab5b31ef0cd21900a8391a27f","ref":"refs/heads/main","pushedAt":"2024-02-23T00:14:40.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Rename Modelling/SVM, stacking_v2.ipynb to Modelling/old ver/SVM, stacking_v2.ipynb","shortMessageHtmlLink":"Rename Modelling/SVM, stacking_v2.ipynb to Modelling/old ver/SVM, sta…"}},{"before":"9e84e1c115112e557aa84cde8fe7f23f19e9c7d0","after":"132713d584b1ed3da96b4ca202d2a8021f10797e","ref":"refs/heads/main","pushedAt":"2024-02-23T00:14:23.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Rename Modelling/SVM, stacking_v0.ipynb to Modelling/old ver/SVM, stacking_v1.ipynb","shortMessageHtmlLink":"Rename Modelling/SVM, stacking_v0.ipynb to Modelling/old ver/SVM, sta…"}},{"before":"d169f3a6a2e231c616957bdc7533439527d5703b","after":"9e84e1c115112e557aa84cde8fe7f23f19e9c7d0","ref":"refs/heads/main","pushedAt":"2024-02-23T00:13:48.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Rename SVM, stacking.ipynb to SVM, stacking_v0.ipynb","shortMessageHtmlLink":"Rename SVM, stacking.ipynb to SVM, stacking_v0.ipynb"}},{"before":"65d9a959f4cb87532585ed4b248880aac4bde8fd","after":"d169f3a6a2e231c616957bdc7533439527d5703b","ref":"refs/heads/main","pushedAt":"2024-02-23T00:13:21.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"updated stacking catboost hyperparameter","shortMessageHtmlLink":"updated stacking catboost hyperparameter"}},{"before":"dfb6c7edc77f073f8b7006cf2426344ef3f0f764","after":"65d9a959f4cb87532585ed4b248880aac4bde8fd","ref":"refs/heads/main","pushedAt":"2024-02-22T20:35:29.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"Azkaban734","name":"David Gao","path":"/Azkaban734","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/86980219?s=80&v=4"},"commit":{"message":"Rename EDA.ipynb to EDA_draft.ipynb","shortMessageHtmlLink":"Rename EDA.ipynb to EDA_draft.ipynb"}},{"before":"455063e0c3ce1eb5056370c825e61cb3130ab2d3","after":"dfb6c7edc77f073f8b7006cf2426344ef3f0f764","ref":"refs/heads/main","pushedAt":"2024-02-22T03:23:20.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"Farahhoque","name":"Farah Hoque","path":"/Farahhoque","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/119197101?s=80&v=4"},"commit":{"message":"Delete EDA/EDA-test.ipynb","shortMessageHtmlLink":"Delete EDA/EDA-test.ipynb"}},{"before":"b42b8fd005ba2d07ec4afc8d18b6cd56982ceae2","after":"455063e0c3ce1eb5056370c825e61cb3130ab2d3","ref":"refs/heads/main","pushedAt":"2024-02-22T03:18:35.000Z","pushType":"push","commitsCount":4,"pusher":{"login":"Farahhoque","name":"Farah Hoque","path":"/Farahhoque","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/119197101?s=80&v=4"},"commit":{"message":"Merge branch 'main' of https://github.com/McGill-MMA-EnterpriseAnalytics/customer_churn_2024","shortMessageHtmlLink":"Merge branch 'main' of https://github.com/McGill-MMA-EnterpriseAnalyt…"}},{"before":"0cc797e48414f6c5a680fb8f77ac1326b703529f","after":"b42b8fd005ba2d07ec4afc8d18b6cd56982ceae2","ref":"refs/heads/main","pushedAt":"2024-02-20T15:25:39.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"nandani-11","name":"Nandani Yadav","path":"/nandani-11","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/46994913?s=80&v=4"},"commit":{"message":"Addinf Fbeta on Test Set","shortMessageHtmlLink":"Addinf Fbeta on Test Set"}},{"before":"7cc4e10c2884156ea60ac67abf4f46a338f5657e","after":"0cc797e48414f6c5a680fb8f77ac1326b703529f","ref":"refs/heads/main","pushedAt":"2024-02-20T03:33:46.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"tuned models with * hyperparameters","shortMessageHtmlLink":"tuned models with * hyperparameters"}},{"before":"49db634cf17dea24b8232e49b54b6da74289ee7f","after":"7cc4e10c2884156ea60ac67abf4f46a338f5657e","ref":"refs/heads/main","pushedAt":"2024-02-20T02:49:41.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"Callme2YC","name":"Yichen Yu","path":"/Callme2YC","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/75711294?s=80&v=4"},"commit":{"message":"Add files via upload","shortMessageHtmlLink":"Add files via upload"}},{"before":"a86340da867523d33da69adf451db35d46db831e","after":"49db634cf17dea24b8232e49b54b6da74289ee7f","ref":"refs/heads/main","pushedAt":"2024-02-20T02:24:00.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"nandani-11","name":"Nandani Yadav","path":"/nandani-11","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/46994913?s=80&v=4"},"commit":{"message":"Leaning Curve and SHap","shortMessageHtmlLink":"Leaning Curve and SHap"}},{"before":"3a142553a4f4526f38082ce19d6a17f07173f2f5","after":"a86340da867523d33da69adf451db35d46db831e","ref":"refs/heads/main","pushedAt":"2024-02-20T02:19:08.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"SVM & Stacking\n\ncontains importances of models in the stacking model","shortMessageHtmlLink":"SVM & Stacking"}},{"before":"211fa906100216af3a9b908995b2676c6f22c663","after":"3a142553a4f4526f38082ce19d6a17f07173f2f5","ref":"refs/heads/main","pushedAt":"2024-02-20T02:00:24.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"nandani-11","name":"Nandani Yadav","path":"/nandani-11","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/46994913?s=80&v=4"},"commit":{"message":"CatBoost with F beta score","shortMessageHtmlLink":"CatBoost with F beta score"}},{"before":"a4abe368809165e2521b30dcf6ccb3f473c59365","after":"211fa906100216af3a9b908995b2676c6f22c663","ref":"refs/heads/main","pushedAt":"2024-02-19T19:28:15.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"nandani-11","name":"Nandani Yadav","path":"/nandani-11","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/46994913?s=80&v=4"},"commit":{"message":"Catboost Model V1","shortMessageHtmlLink":"Catboost Model V1"}},{"before":"ae8d848852697a927f4edfd8144e70037034b315","after":"a4abe368809165e2521b30dcf6ccb3f473c59365","ref":"refs/heads/main","pushedAt":"2024-02-19T06:30:33.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"ab3c67d1f12279d3b37963f2e07b277d2b639f07","after":"ae8d848852697a927f4edfd8144e70037034b315","ref":"refs/heads/main","pushedAt":"2024-02-19T06:29:58.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Update README.md","shortMessageHtmlLink":"Update README.md"}},{"before":"c5359ba0f3b5bd8fa0a7f998d65d8aa2da2de413","after":"ab3c67d1f12279d3b37963f2e07b277d2b639f07","ref":"refs/heads/main","pushedAt":"2024-02-19T06:26:16.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Stacking model and learning curves done\nWaiting on weighed F1 logic","shortMessageHtmlLink":"Stacking model and learning curves done"}},{"before":"d4bd53627e50e528d1ded3bfe693eebbd5c17245","after":"c5359ba0f3b5bd8fa0a7f998d65d8aa2da2de413","ref":"refs/heads/main","pushedAt":"2024-02-16T08:10:21.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Tuned SVM","shortMessageHtmlLink":"Tuned SVM"}},{"before":"8e32576599f8da7ee6c048be88e5352be8fbe766","after":"d4bd53627e50e528d1ded3bfe693eebbd5c17245","ref":"refs/heads/main","pushedAt":"2024-02-16T08:05:05.000Z","pushType":"push","commitsCount":1,"pusher":{"login":"LuChiara","name":"Chiara Lu","path":"/LuChiara","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/91162706?s=80&v=4"},"commit":{"message":"Tuned SVM model\nCompared before and after tuning results","shortMessageHtmlLink":"Tuned SVM model"}}],"hasNextPage":true,"hasPreviousPage":false,"activityType":"all","actor":null,"timePeriod":"all","sort":"DESC","perPage":30,"cursor":"Y3Vyc29yOnYyOpK7MjAyNC0wMi0yNlQwMzozMjoxMy4wMDAwMDBazwAAAAQE7Zkj","startCursor":"Y3Vyc29yOnYyOpK7MjAyNC0wMi0yNlQwMzozMjoxMy4wMDAwMDBazwAAAAQE7Zkj","endCursor":"Y3Vyc29yOnYyOpK7MjAyNC0wMi0xNlQwODowNTowNS4wMDAwMDBazwAAAAP8Vb0G"}},"title":"Activity · McGill-MMA-EnterpriseAnalytics/customer_churn_2024"}