{"id":31649325,"url":"https://github.com/rudra00434/logisticregression_model_iris-dataset_hypertuning","last_synced_at":"2025-10-07T07:42:21.275Z","repository":{"id":311311155,"uuid":"1043302094","full_name":"rudra00434/LogisticRegression_Model_Iris-dataset_HyperTuning","owner":"rudra00434","description":"Trained a Logistic regression model on iris dataset (hypertuning wth GridSearch_CV )","archived":false,"fork":false,"pushed_at":"2025-08-23T16:50:06.000Z","size":9,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-24T05:44:37.592Z","etag":null,"topics":["classification-algorithm","iris-dataset","logistic-regression","machine-learning","machine-learning-algorithms","sklearn","supervised-learning"],"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/rudra00434.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,"zenodo":null}},"created_at":"2025-08-23T15:11:07.000Z","updated_at":"2025-08-24T02:38:43.000Z","dependencies_parsed_at":"2025-08-24T06:58:25.768Z","dependency_job_id":"a5ce753a-cd4a-4cdd-9c3f-971d592d27d1","html_url":"https://github.com/rudra00434/LogisticRegression_Model_Iris-dataset_HyperTuning","commit_stats":null,"previous_names":["rudra00434/logisticregression_model_iris-dataset_hypertuning"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/rudra00434/LogisticRegression_Model_Iris-dataset_HyperTuning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra00434%2FLogisticRegression_Model_Iris-dataset_HyperTuning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra00434%2FLogisticRegression_Model_Iris-dataset_HyperTuning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra00434%2FLogisticRegression_Model_Iris-dataset_HyperTuning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra00434%2FLogisticRegression_Model_Iris-dataset_HyperTuning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rudra00434","download_url":"https://codeload.github.com/rudra00434/LogisticRegression_Model_Iris-dataset_HyperTuning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rudra00434%2FLogisticRegression_Model_Iris-dataset_HyperTuning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278740831,"owners_count":26037480,"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","status":"online","status_checked_at":"2025-10-07T02:00:06.786Z","response_time":59,"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":["classification-algorithm","iris-dataset","logistic-regression","machine-learning","machine-learning-algorithms","sklearn","supervised-learning"],"created_at":"2025-10-07T07:42:14.126Z","updated_at":"2025-10-07T07:42:21.269Z","avatar_url":"https://github.com/rudra00434.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LogisticRegression_Model_Iris-dataset_HyperTuning\nTrained a Logistic regression model on iris dataset\n## Logistic Regression with Hyperparameter Tuning on Iris Dataset\n\n##  Overview\nA binary classification project using Logistic Regression to distinguish *versicolor* vs *virginica* Iris species, with **Exploratory Data Analysis** and **GridSearchCV hyperparameter tuning**.\n\n##  Key Steps\n- Data cleaning \u0026 filtering\n- EDA: Pairplot, correlation heatmap, histograms, boxplots, violin plots\n- Logistic Regression with **GridSearchCV** (5-fold CV) tuning:\n  - `penalty`, `C`, `solver`, `max_iter`\n- Model evaluation: test accuracy, classification report\n\n##  Results\n- **Best Hyperparameters**: *(fill with your best_params_ output)*\n- **Test Accuracy**: *(fill in score)*\n- **Classification Report**:\n\u003cimg width=\"964\" height=\"756\" alt=\"Screenshot (242)\" src=\"https://github.com/user-attachments/assets/a30c371c-5c4e-47aa-952d-36e39514f3bf\" /\u003e\n\n# Visuals of EDA and Histograms and Correlation Heatmaps-violin plots\n\u003cimg width=\"1920\" height=\"1080\" alt=\"Screenshot (237)\" src=\"https://github.com/user-attachments/assets/2879bb12-40d5-49e9-95f1-52f4d9439524\" /\u003e\n\u003cimg width=\"1920\" height=\"1080\" alt=\"Screenshot (239)\" src=\"https://github.com/user-attachments/assets/20ec6d18-13f3-44b1-9888-a49c655d0cfc\" /\u003e\n\u003cimg width=\"1920\" height=\"1080\" alt=\"Screenshot (241)\" src=\"https://github.com/user-attachments/assets/da02bf6d-c695-4a76-9e6e-1ef412ddf97d\" /\u003e\n\u003cimg width=\"1920\" height=\"1080\" alt=\"Screenshot (240)\" src=\"https://github.com/user-attachments/assets/f26ad3c6-bfe8-4b84-8f80-29f5dae2a429\" /\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frudra00434%2Flogisticregression_model_iris-dataset_hypertuning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frudra00434%2Flogisticregression_model_iris-dataset_hypertuning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frudra00434%2Flogisticregression_model_iris-dataset_hypertuning/lists"}