language:en license:mit size_categories:10K<n<100K format:parquet modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: log_stand__housing_median_age
    dtype: float64
  - name: log_stand__total_rooms
    dtype: float64
  - name: log_stand__total_bedrooms
    dtype: float64
  - name: log_stand__population
    dtype: float64
  - name: log_stand__households
    dtype: float64
  - name: log_stand__median_income
    dtype: float64
  - name: log_stand__median_house_value
    dtype: float64
  - name: encode__ocean_proximity_<1H OCEAN
    dtype: float64
  - name: encode__ocean_proximity_INLAND
    dtype: float64
  - name: encode__ocean_proximity_ISLAND
    dtype: float64
  - name: encode__ocean_proximity_NEAR BAY
    dtype: float64
  - name: encode__ocean_proximity_NEAR OCEAN
    dtype: float64
  - name: scale__longitude
    dtype: float64
  - name: scale__latitude
    dtype: float64
  splits:
  - name: train
    num_bytes: 1648864
    num_examples: 14722
  - name: test
    num_bytes: 412272
    num_examples: 3681
  download_size: 1130408
  dataset_size: 2061136
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
license: mit
language:
- en
pretty_name: Pre-Processed Housing Data
---
This dataset consists of processed and separated data for producing and validating a model using california housing data