| language: | |
| - en | |
| license: apache-2.0 | |
| task_categories: | |
| - tabular-classification | |
| tags: | |
| - healthcare | |
| - medical | |
| - thyroid | |
| - classification | |
| - tabular | |
| pretty_name: Thyroid Diff Clean Dataset | |
| size_categories: | |
| - 1K<n<10K | |
| # Thyroid Diff Clean Dataset | |
| ## Description | |
| This dataset contains cleaned and preprocessed thyroid disease data prepared for machine learning tasks. | |
| Categorical features are encoded and missing values have been handled. | |
| The dataset includes a structured train–test split. | |
| ## Dataset Structure | |
| - train.csv — training split (80%) | |
| - test.csv — testing split (20%) | |
| ## Features | |
| The dataset includes clinical and diagnostic features related to thyroid condition prediction. | |
| The target variable represents recurrence status. | |
| ## Preprocessing Steps | |
| - Removed duplicate records | |
| - Handled missing values | |
| - Encoded categorical variables | |
| - Stratified train–test split (80–20) | |
| ## Intended Use | |
| This dataset is suitable for: | |
| - Classification tasks | |
| - Medical machine learning experiments | |
| - Educational projects | |
| - Benchmarking tabular ML models | |
| ## License | |
| Apache-2.0 |