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california

california

active ARFF See source Visibility: public Uploaded 21-06-2022 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 "classification 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)nominal2 unique values
0 missing
MedIncnumeric12925 unique values
0 missing
HouseAgenumeric52 unique values
0 missing
AveRoomsnumeric19387 unique values
0 missing
AveBedrmsnumeric14229 unique values
0 missing
Populationnumeric3887 unique values
0 missing
AveOccupnumeric18837 unique values
0 missing
Latitudenumeric862 unique values
0 missing
Longitudenumeric844 unique values
0 missing

19 properties

20634
Number of instances (rows) of the dataset.
9
Number of attributes (columns) of the dataset.
2
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.
8
Number of numeric attributes.
1
Number of nominal attributes.
11.11
Percentage of nominal attributes.
1
Average class difference between consecutive instances.
88.89
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
11.11
Percentage of binary attributes.
1
Number of binary attributes.
10317
Number of instances belonging to the least frequent class.
50
Percentage of instances belonging to the least frequent class.
10317
Number of instances belonging to the most frequent class.
50
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: predictive_accuracy - target_feature: price
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