Data
california

california

active ARFF See source Visibility: public Uploaded 16-06-2022 by Leo Grin
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Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original source: https://www.dcc.fc.up.pt/~ltorgo/Regression/cal_housing.html Please give credit to the original source if you use this dataset.

9 features

price (target)numeric3842 unique values
0 missing
MedIncnumeric12928 unique values
0 missing
HouseAgenumeric52 unique values
0 missing
AveRoomsnumeric19392 unique values
0 missing
AveBedrmsnumeric14233 unique values
0 missing
Populationnumeric3888 unique values
0 missing
AveOccupnumeric18841 unique values
0 missing
Latitudenumeric862 unique values
0 missing
Longitudenumeric844 unique values
0 missing

19 properties

20640
Number of instances (rows) of the dataset.
9
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
9
Number of numeric attributes.
0
Number of nominal attributes.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.88
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
100
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: root_mean_squared_error - target_feature: price
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