{"id":18690936,"url":"https://github.com/Wadenschwinger/LoLFirsts","last_synced_at":"2025-11-08T08:30:40.094Z","repository":{"id":115719651,"uuid":"110362473","full_name":"SanRehmo/LoLFirsts","owner":"SanRehmo","description":"1st place @ Predictive Analytics Hackathon, Hannover, 11.11.2017","archived":false,"fork":false,"pushed_at":"2017-11-13T14:36:37.000Z","size":3828,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":4,"default_branch":"master","last_synced_at":"2024-12-28T02:35:20.296Z","etag":null,"topics":["analytics","classification","decision","learning","machine","predictive","tree"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SanRehmo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-11-11T16:48:31.000Z","updated_at":"2017-11-23T18:53:13.000Z","dependencies_parsed_at":null,"dependency_job_id":"5586c696-12cb-4e09-92ec-37f1d69f3b0b","html_url":"https://github.com/SanRehmo/LoLFirsts","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SanRehmo%2FLoLFirsts","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SanRehmo%2FLoLFirsts/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SanRehmo%2FLoLFirsts/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SanRehmo%2FLoLFirsts/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SanRehmo","download_url":"https://codeload.github.com/SanRehmo/LoLFirsts/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239550279,"owners_count":19657541,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["analytics","classification","decision","learning","machine","predictive","tree"],"created_at":"2024-11-07T10:51:34.267Z","updated_at":"2025-11-08T08:30:40.051Z","avatar_url":"https://github.com/SanRehmo.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LoLFirsts\n\nThis is a classifier we wrote for the Predicitve Data Analysis Hackathon in Hannover, 11.11.2017. The goal was to extract something useful from a League of Legends dataset. \n\nWe trained a Binary Decision Tree on the big \"firsts\" of each match:\n\n* firstBlood\n* firstTower\n* firstInhibitor\n* firstBaron\n* firstDragon\n* firstRiftHerald\n\nUsing these, we predict if a team will win the match. The classifier gets to around 87% accuracy on our test split. If we take out the Inhibitor, which appears late into the game, we still get over 70%. Still enough to justify rage quitting, I'd say.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FWadenschwinger%2FLoLFirsts","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FWadenschwinger%2FLoLFirsts","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FWadenschwinger%2FLoLFirsts/lists"}