| --- |
| dataset_info: |
| features: |
| - name: Age |
| dtype: int64 |
| - name: Gender |
| dtype: int64 |
| - name: Air_Pollution |
| dtype: int64 |
| - name: Alcohol_use |
| dtype: int64 |
| - name: Dust_Allergy |
| dtype: int64 |
| - name: OccuPational_Hazards |
| dtype: int64 |
| - name: Genetic_Risk |
| dtype: int64 |
| - name: chronic_Lung_Disease |
| dtype: int64 |
| - name: Balanced_Diet |
| dtype: int64 |
| - name: Obesity |
| dtype: int64 |
| - name: Smoking |
| dtype: int64 |
| - name: Passive_Smoker |
| dtype: int64 |
| - name: Chest_Pain |
| dtype: int64 |
| - name: Coughing_of_Blood |
| dtype: int64 |
| - name: Fatigue |
| dtype: int64 |
| - name: Weight_Loss |
| dtype: int64 |
| - name: Shortness_of_Breath |
| dtype: int64 |
| - name: Wheezing |
| dtype: int64 |
| - name: Swallowing_Difficulty |
| dtype: int64 |
| - name: Clubbing_of_Finger_Nails |
| dtype: int64 |
| - name: Frequent_Cold |
| dtype: int64 |
| - name: Dry_Cough |
| dtype: int64 |
| - name: Snoring |
| dtype: int64 |
| - name: Level |
| dtype: |
| class_label: |
| names: |
| '0': Low |
| '1': Medium |
| '2': High |
| splits: |
| - name: train |
| num_bytes: 192000 |
| num_examples: 1000 |
| - name: test |
| num_bytes: 192000 |
| num_examples: 1000 |
| download_size: 40754 |
| dataset_size: 384000 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| --- |
| |
|
|
|
|
|
|
| # Lung Cancer Risk Classification Dataset |
|
|
| ## Purpose |
| This dataset is designed for building machine learning models to **predict the risk level of lung cancer** based on patient demographics, lifestyle, and medical history. |
| It can be used for **research, model training, and educational purposes** in healthcare AI applications. |
| The dataset contains **23 input features** and one target label (`Level`) with three classes: |
| - Low (0) |
| - Medium (1) |
| - High (2) |
|
|
| --- |
|
|
| ## Dataset Guide |
|
|
| ### Features |
| | Feature Name | Type | Description | |
| |--------------|------|-------------| |
| | Age | int | Patient age | |
| | Gender | int | Gender encoded as 0/1 | |
| | Air_Pollution | int | Exposure to air pollution | |
| | Alcohol_use | int | Alcohol consumption indicator | |
| | Dust_Allergy | int | Presence of dust allergy | |
| | OccuPational_Hazards | int | Occupational hazards exposure | |
| | Genetic_Risk | int | Genetic risk factor | |
| | chronic_Lung_Disease | int | History of chronic lung disease | |
| | Balanced_Diet | int | Balanced diet indicator | |
| | Obesity | int | Obesity indicator | |
| | Smoking | int | Smoking habit indicator | |
| | Passive_Smoker | int | Exposure to passive smoking | |
| | Chest_Pain | int | Chest pain indicator | |
| | Coughing_of_Blood | int | Presence of blood in cough | |
| | Fatigue | int | Fatigue indicator | |
| | Weight_Loss | int | Weight loss indicator | |
| | Shortness_of_Breath | int | Shortness of breath indicator | |
| | Wheezing | int | Wheezing indicator | |
| | Swallowing_Difficulty | int | Difficulty swallowing indicator | |
| | Clubbing_of_Finger_Nails | int | Clubbing of finger nails indicator | |
| | Frequent_Cold | int | Frequency of colds | |
| | Dry_Cough | int | Dry cough indicator | |
| | Snoring | int | Snoring indicator | |
| | Level | class | Target label: 0=Low, 1=Medium, 2=High | |
| |
| ### Recommended Usage |
| 1. **Load the dataset** using the `datasets` library: |
| |
| ```python |
| from datasets import load_dataset |
|
|
| dataset = load_dataset("edcelbogs/lung-cancer-classification") |
| |
| |
| |
| ### Prepare for training in TensorFlow or PyTorch: |
| |
| #Example Convert to TensorFlow dataset: |
| |
| tf_dataset = dataset["train"].to_tf_dataset( |
| columns=[c for c in dataset["train"].column_names if c != "Level"], |
| label_cols="Level", |
| shuffle=True, |
| batch_size=32 |
| ) |
| |
|
|
