{"id":19580638,"url":"https://github.com/blurred-machine/ad-click-prediction-on-internet-accessing-users","last_synced_at":"2026-06-11T03:31:25.771Z","repository":{"id":129505600,"uuid":"225646602","full_name":"blurred-machine/Ad-Click-Prediction-on-internet-accessing-users","owner":"blurred-machine","description":"Predicting whether or not a internet accessing user will click on an ad, based on his/her features.","archived":false,"fork":false,"pushed_at":"2019-12-03T15:13:15.000Z","size":416,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-26T12:15:29.483Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/blurred-machine.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":"2019-12-03T14:58:11.000Z","updated_at":"2024-08-20T18:04:14.000Z","dependencies_parsed_at":"2023-06-11T16:30:50.638Z","dependency_job_id":null,"html_url":"https://github.com/blurred-machine/Ad-Click-Prediction-on-internet-accessing-users","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/blurred-machine/Ad-Click-Prediction-on-internet-accessing-users","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blurred-machine%2FAd-Click-Prediction-on-internet-accessing-users","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blurred-machine%2FAd-Click-Prediction-on-internet-accessing-users/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blurred-machine%2FAd-Click-Prediction-on-internet-accessing-users/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blurred-machine%2FAd-Click-Prediction-on-internet-accessing-users/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/blurred-machine","download_url":"https://codeload.github.com/blurred-machine/Ad-Click-Prediction-on-internet-accessing-users/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/blurred-machine%2FAd-Click-Prediction-on-internet-accessing-users/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34181554,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-11T02:00:06.485Z","response_time":57,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2024-11-11T07:28:24.411Z","updated_at":"2026-06-11T03:31:25.752Z","avatar_url":"https://github.com/blurred-machine.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Ad-Click-Prediction-on-internet-accessing-users\n\n* Predicting whether or not a user will click on an ad, based on his/her features. As this is a binary classification problem, a logistic regression model is well suited here.\n* Dataset used is advertising dataset which is of the \".csv\" format.\n\n### Dataset:\n* 'Daily Time Spent on Site': consumer time on site in minutes\n* 'Age': cutomer age in years\n* 'Area Income': Avg. Income of geographical area of consumer\n* 'Daily Internet Usage': Avg. minutes a day consumer is on the internet\n* 'Ad Topic Line': Headline of the advertisement\n* 'City': City of consumer\n* 'Male': Whether or not consumer was male\n* 'Country': Country of consumer\n* 'Timestamp': Time at which consumer clicked on Ad or closed window\n* 'Clicked on Ad': 0 or 1 indicated clicking on Ad\n\n### Exploratory Data Analysis:\n* Used seaborn jointplot and pairplot for analysing data.\n\n### Data splitting for training and testing:\n* Used \"train_test_split\" from scikit-learn library for splitting the dataset into training and testing data.\n* Data split is in the fraction of 0.3 for testing and 0.7 for training.\n\n###  Model Training:\n* Model is trained over the Logistic Regression Model.\n\n### Evaluations:\n* \"classification_report\" is generated which gives the values of precision, recall, f1-score and support\n\n### Final Result:\n* Precision = 92%\n* Recall = 92%\n* F1-score = 92%\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblurred-machine%2Fad-click-prediction-on-internet-accessing-users","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fblurred-machine%2Fad-click-prediction-on-internet-accessing-users","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblurred-machine%2Fad-click-prediction-on-internet-accessing-users/lists"}