{
  "fetched_at": "2026-10-20T05:58:43Z",
  "source_url": "https://www.kaggle.com/competitions/ames-day2/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "name": "data-description",
      "content": "### Data Field Description \n\nHere's a brief version of what you'll find in the data description file.\n\n- SalePrice - the property's sale price in dollars. This is the target variable that you're trying to predict.\n- MSSubClass: The building class\n- LotFrontage: Linear feet of street connected to property\n- LotArea: Lot size in square feet\n- OverallQual: Overall material and finish quality\n- OverallCond: Overall condition rating\n- YearBuilt: Original construction date\n- YearRemodAdd: Remodel date\n- MasVnrArea: Masonry veneer area in square feet\n- BsmtFinSF1: Type 1 finished square feet\n- BsmtFinSF2: Type 2 finished square feet\n- BsmtUnfSF: Unfinished square feet of basement area\n- TotalBsmtSF: Total square feet of basement area\n- 1stFlrSF: First Floor square feet\n- 2ndFlrSF: Second floor square feet\n- LowQualFinSF: Low quality finished square feet (all floors)\n- GrLivArea: Above grade (ground) living area square feet\n- BsmtFullBath: Basement full bathrooms\n- BsmtHalfBath: Basement half bathrooms\n- FullBath: Full bathrooms above grade\n- HalfBath: Half baths above grade\n- Bedroom: Number of bedrooms above basement level\n- Kitchen: Number of kitchens\n- Fireplaces: Number of fireplaces\n- GarageYrBlt: Year garage was built\n- GarageCars: Size of garage in car capacity\n- GarageArea: Size of garage in square feet\n- WoodDeckSF: Wood deck area in square feet\n- OpenPorchSF: Open porch area in square feet\n- EnclosedPorch: Enclosed porch area in square feet\n- 3SsnPorch: Three season porch area in square feet\n- ScreenPorch: Screen porch area in square feet\n- PoolArea: Pool area in square feet\n- MiscVal: $Value of miscellaneous feature\n- MoSold: Month Sold\n- YrSold: Year Sold\n\n",
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    {
      "name": "Description",
      "content": "This is the competition for day 2 of the course \"Introduction to Machine Learning\". \n\nThe dataset is a modified version of the original [Ames Housing Dataset](https://www.kaggle.com/prevek18/ames-housing-dataset). Try out different learners, and tune their hyperparameters! \n\nTo make things easier for you, the dataset has been preprocessed as follows: \n- all categorical features have been dropped\n- missing values are substituted by the mean for numeric columns / the median for integer columns\n",
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    {
      "name": "Evaluation",
      "content": "# Evaluation\nThe evaluation metric for this competition is Mean Absolute Error (MAE):\n$$\n\\frac{1}{n}\\sum_{i=1}^n |y^{(i)} - \\hat y^{(i)}|\n$$\n\n\nThe solution file should contain a header and have the following format:\n\n<pre>row_id,response<br />1,12000<br /><span style=\"font-size: 14px; line-height: 1.4em;\">2,8000<br />3,12500<br /><span style=\"font-size: 14px; line-height: 1.4em;\">4,6500<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">etc.</span>",
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