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Sample dataset of one year hourly basis machine monitor, with the recorded info about failures.
A model that predicts miles per gallon for a series of older automobiles, based on other information about the car, such as acceleration and horsepower. Taken from the UCI machine learning repository at http://archive.ics.uci.edu/ml/datasets/Auto+MPG.
These data give air pollution and related values for 41 U.S. cities and were collected from U.S. government publications. The data are means over the years 1969-1971.
- City: City
SO2: Sulfur dioxide content of air in micrograms per cubic meter - Temperature: Average annual temperature in degrees Fahrenheit
Enterprises: Number of manufacturing enterprises employing 20 or more workers - Population: Population size in thousands from the 1970 census
Wind speed: Average annual wind speed in miles per hour - Rain: Average annual precipitation in inches
Rain Days: Average number of days with precipitation per year
This model predicts the highway Miles per Gallon performance of various '93 cars.
Data source: here
Specifications are given for 93 new car models for the 1993 year. Several measures are given to evaluate price, mpg ratings, engine size, body size, and features.
SOURCES: Consumer Reports: The 1993 Cars - Annual Auto Issue (April 1993), Yonkers, NY: Consumers Union. PACE New Car & Truck 1993 Buying Guide (1993), Milwaukee, WI: Pace Publications Inc.
This model predicts the emission of CO2, based on the data of 100,000 cars in the Netherlands.
Data is from the Dutch RDW. Field labels are Dutch.
Car origin based on other 7 car variables: MPG (miles per gallon), # cylinders, engine displacement (cu. inches), horsepower, vehicle weight (lbs.), time to accelerate from O to 60 mph (sec.), model year (modulo 100). Source: mldata.org