Data
house_sales

house_sales

active ARFF CC0 Public Domain Visibility: public Uploaded 18-11-2020 by Pieter Gijsbers
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Date converted to year/mo/day numerics.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.

22 features

price (target)numeric4028 unique values
0 missing
id (row identifier)numeric21436 unique values
0 missing
bedroomsnumeric13 unique values
0 missing
bathroomsnumeric30 unique values
0 missing
sqft_livingnumeric1038 unique values
0 missing
sqft_lotnumeric9782 unique values
0 missing
floorsnumeric6 unique values
0 missing
waterfrontnumeric2 unique values
0 missing
viewnumeric5 unique values
0 missing
conditionnumeric5 unique values
0 missing
gradenumeric12 unique values
0 missing
sqft_abovenumeric946 unique values
0 missing
sqft_basementnumeric306 unique values
0 missing
yr_builtnumeric116 unique values
0 missing
yr_renovatednumeric70 unique values
0 missing
zipcodenominal70 unique values
0 missing
latnumeric5034 unique values
0 missing
longnumeric752 unique values
0 missing
sqft_living15numeric777 unique values
0 missing
sqft_lot15numeric8689 unique values
0 missing
date_yearnumeric2 unique values
0 missing
date_monthnumeric12 unique values
0 missing
date_daynumeric31 unique values
0 missing
Show all 22 features

19 properties

NumberOfInstances
21613
Number of instances (rows) of the dataset.
NumberOfFeatures
22
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
21
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
95.45
Percentage of numeric attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
4.55
Percentage of nominal attributes.
MajorityClassSize
Number of instances belonging to the most frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
-324979.42
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Show all 19 properties

2 tasks

Supervised Regression on house_sales
3 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: price
Supervised Regression on house_sales
0 runs - estimation_procedure: 33% Holdout set - target_feature: price
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