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california

california

active ARFF See source Visibility: public Uploaded 16-06-2022 by Frank Wallace
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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.
0
Percentage of nominal attributes.
0.88
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

1 tasks

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