Use case on the space_ga dataset

Dataset space_ga

Machine Learning Task: Regression

This is an Election database. It contains 3,107 observations on county votes cast in the 1980 U.S. presidential election. Specifically, it contains the total number of votes cast in the 1980 presidential election per county (VOTES), the population in each county of 18 years of age or older (POP), the population in each county with a 12th grade or higher education ( EDUCATION), the number of owner-occupied housing units (HOUSES), the aggregate income (INCOME), the X spatial coordinate of the county (XCOORD), and the Y spatial coordinate of the county (YCOORD).

Available at OpenML: https://openml.org/d/507

Category: Public Sector

# Rows: 3,107 # Columns: 6

Target: ln(VOTES/POP)

Features

Numeric: POP, EDUCATION, HOUSES, INCOME, XCOORD, YCOORD

Machine Learning Use Case Public Sector

Root Mean Square Error (RMSE)

Space_Ga Rmse

Mean Absolute Error (MAE)

Space_Ga Mae

Coefficient of Determination (R2)

Space_Ga R2

« Back to Machine Learning Algorithms Comparison