Use case on the house_sales dataset

Dataset house_sales

Machine Learning Task: Regression

This is a house_sales database. This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It contains 19 house features plus the price and the id columns, along with 21613 observations. It's a great dataset for evaluating simple regression models.

Available at OpenML:

Category: Business

# Rows: 21,613 # Columns: 22

Target: price


Numeric: id, bedrooms, bathrooms, sqft_living, sqft_lot, floors, waterfront, view, condition, grade, sqft_above, sqft_basement, yr_built, yr_renovated, lat, long, sqft_living15, sqft_lot15, date_year, date_month, ...

Nominal: zipcode

Machine Learning Use Case Business

Root Mean Square Error (RMSE)

House_Sales Rmse

Mean Absolute Error (MAE)

House_Sales Mae

Coefficient of Determination (R2)

House_Sales R2

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