metadata

license: mit
language: en
tags:
  - feature engineering
  - RFs
  - gradient boosting
configs:
  - config_name: train
    data_files: train.csv
  - config_name: test
    data_files: test.csv
  - config_name: sample_submission
    data_files: sample_submission.csv

Dataset Description

File descriptions

train.csv - the training set
test.csv - the test set
data_description.txt - full description of each column, originally prepared by Dean De Cock but lightly edited to match the column names used here
sample_submission.csv - a benchmark submission from a linear regression on year and month of sale, lot square footage, and number of bedrooms

from datasets import load_dataset

# Load training data set
train_dataset = load_dataset("Xuehang/House_Prices_Advanced_Regression_Techniques", "train")

# Load test data set
test_dataset = load_dataset("Xuehang/House_Prices_Advanced_Regression_Techniques", "test")

# Load the sample submission dataset
sample_submission_dataset = load_dataset("Xuehang/House_Prices_Advanced_Regression_Techniques", "sample_submission")

# Traverse the data of train_dataset
for data in train_dataset['train']:
    print(data)

# {'Id': 1, 'MSSubClass': 60, 'MSZoning': 'RL', 'LotFrontage': 65.0, 'LotArea': 8450, 'Street': 'Pave', 'Alley': None, 'LotShape': 'Reg', 'LandContour': 'Lvl', 'Utilities': 'AllPub', 'LotConfig': 'Inside', 'LandSlope': 'Gtl', 'Neighborhood': 'CollgCr', 'Condition1': 'Norm', 'Condition2': 'Norm', 'BldgType': '1Fam', 'HouseStyle': '2Story', 'OverallQual': 7, 'OverallCond': 5, 'YearBuilt': 2003, 'YearRemodAdd': 2003, 'RoofStyle': 'Gable', 'RoofMatl': 'CompShg', 'Exterior1st': 'VinylSd', 'Exterior2nd': 'VinylSd', 'MasVnrType': 'BrkFace', 'MasVnrArea': 196.0, 'ExterQual': 'Gd', 'ExterCond': 'TA', 'Foundation': 'PConc', 'BsmtQual': 'Gd', 'BsmtCond': 'TA', 'BsmtExposure': 'No', 'BsmtFinType1': 'GLQ', 'BsmtFinSF1': 706, 'BsmtFinType2': 'Unf', 'BsmtFinSF2': 0, 'BsmtUnfSF': 150, 'TotalBsmtSF': 856, 'Heating': 'GasA', 'HeatingQC': 'Ex', 'CentralAir': 'Y', 'Electrical': 'SBrkr', '1stFlrSF': 856, '2ndFlrSF': 854, 'LowQualFinSF': 0, 'GrLivArea': 1710, 'BsmtFullBath': 1, 'BsmtHalfBath': 0, 'FullBath': 2, 'HalfBath': 1, 'BedroomAbvGr': 3, 'KitchenAbvGr': 1, 'KitchenQual': 'Gd', 'TotRmsAbvGrd': 8, 'Functional': 'Typ', 'Fireplaces': 0, 'FireplaceQu': None, 'GarageType': 'Attchd', 'GarageYrBlt': 2003.0, 'GarageFinish': 'RFn', 'GarageCars': 2, 'GarageArea': 548, 'GarageQual': 'TA', 'GarageCond': 'TA', 'PavedDrive': 'Y', 'WoodDeckSF': 0, 'OpenPorchSF': 61, 'EnclosedPorch': 0, '3SsnPorch': 0, 'ScreenPorch': 0, 'PoolArea': 0, 'PoolQC': None, 'Fence': None, 'MiscFeature': None, 'MiscVal': 0, 'MoSold': 2, 'YrSold': 2008, 'SaleType': 'WD', 'SaleCondition': 'Normal', 'SalePrice': 208500}

Data fields

Here's a brief version of what you'll find in the data description file.

SalePrice - the property's sale price in dollars. This is the target variable that you're trying to predict.
MSSubClass: The building class
MSZoning: The general zoning classification
LotFrontage: Linear feet of street connected to property
LotArea: Lot size in square feet
Street: Type of road access
Alley: Type of alley access
LotShape: General shape of property
LandContour: Flatness of the property
Utilities: Type of utilities available
LotConfig: Lot configuration
LandSlope: Slope of property
Neighborhood: Physical locations within Ames city limits
Condition1: Proximity to main road or railroad
Condition2: Proximity to main road or railroad (if a second is present)
BldgType: Type of dwelling
HouseStyle: Style of dwelling
OverallQual: Overall material and finish quality
OverallCond: Overall condition rating
YearBuilt: Original construction date
YearRemodAdd: Remodel date
RoofStyle: Type of roof
RoofMatl: Roof material
Exterior1st: Exterior covering on house
Exterior2nd: Exterior covering on house (if more than one material)
MasVnrType: Masonry veneer type
MasVnrArea: Masonry veneer area in square feet
ExterQual: Exterior material quality
ExterCond: Present condition of the material on the exterior
Foundation: Type of foundation
BsmtQual: Height of the basement
BsmtCond: General condition of the basement
BsmtExposure: Walkout or garden level basement walls
BsmtFinType1: Quality of basement finished area
BsmtFinSF1: Type 1 finished square feet
BsmtFinType2: Quality of second finished area (if present)
BsmtFinSF2: Type 2 finished square feet
BsmtUnfSF: Unfinished square feet of basement area
TotalBsmtSF: Total square feet of basement area
Heating: Type of heating
HeatingQC: Heating quality and condition
CentralAir: Central air conditioning
Electrical: Electrical system
1stFlrSF: First Floor square feet
2ndFlrSF: Second floor square feet
LowQualFinSF: Low quality finished square feet (all floors)
GrLivArea: Above grade (ground) living area square feet
BsmtFullBath: Basement full bathrooms
BsmtHalfBath: Basement half bathrooms
FullBath: Full bathrooms above grade
HalfBath: Half baths above grade
Bedroom: Number of bedrooms above basement level
Kitchen: Number of kitchens
KitchenQual: Kitchen quality
TotRmsAbvGrd: Total rooms above grade (does not include bathrooms)
Functional: Home functionality rating
Fireplaces: Number of fireplaces
FireplaceQu: Fireplace quality
GarageType: Garage location
GarageYrBlt: Year garage was built
GarageFinish: Interior finish of the garage
GarageCars: Size of garage in car capacity
GarageArea: Size of garage in square feet
GarageQual: Garage quality
GarageCond: Garage condition
PavedDrive: Paved driveway
WoodDeckSF: Wood deck area in square feet
OpenPorchSF: Open porch area in square feet
EnclosedPorch: Enclosed porch area in square feet
3SsnPorch: Three season porch area in square feet
ScreenPorch: Screen porch area in square feet
PoolArea: Pool area in square feet
PoolQC: Pool quality
Fence: Fence quality
MiscFeature: Miscellaneous feature not covered in other categories
MiscVal: $Value of miscellaneous feature
MoSold: Month Sold
YrSold: Year Sold
SaleType: Type of sale
SaleCondition: Condition of sale