{
  "fetched_at": "2026-10-19T23:41:22Z",
  "source_url": "https://www.kaggle.com/competitions/binary-classification-challenge-predicting-smoker/data",
  "pages": [
    {
      "name": "Evaluation",
      "content": "Submissions are evaluated on [area under the ROC curve](http://en.wikipedia.org/wiki/Receiver_operating_characteristic) between the predicted probability and the observed target.\n\n\n## Submission File\nFor each `id` in the test set, you must predict the probability for the target variable `smoking`. The file should contain a header and have the following format:\n\n    id,smoking\n    159256,0.5\n    159257,0.5\n    159258,0.5\n    etc.",
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    {
      "name": "rules",
      "content": "The only rule I would define for this competition would be to have fun and keep learning and exploring!!",
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    {
      "name": "data-description",
      "content": "The dataset for this competition (both train and test) was generated from a deep learning model trained on the [Smoker Status Prediction using Bio-Signals](https://www.kaggle.com/datasets/gauravduttakiit/smoker-status-prediction-using-biosignals) dataset. Feature distributions are close to, but not exactly the same, as the original. Feel free to use the original dataset as part of this competition, both to explore differences as well as to see whether incorporating the original in training improves model performance.\n\n## Files\n\n*   **train.csv** - the training dataset; `smoking` is the binary target\n*   **test.csv** - the test dataset; your objective is to predict the probability of positive `smoking`\n*   **sample_submission.csv** - a sample submission file in the correct format",
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    {
      "name": "abstract",
      "content": "**Welcome to the 2023 Kaggle Playground Series!** Thank you to everyone who participated in and contributed to Season 3 Playground Series so far! \n\n**Your Goal:** For this Episode of the Series, your task is to use binary classification to predict a patient's smoking status given information about various other health indicators. Good luck!",
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}