Data
brazilian_houses

brazilian_houses

active ARFF CC 0: Public Domain Visibility: public Uploaded 22-12-2022 by Sebastian Fischer
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Data Description This dataset contains 10962 houses to rent in Brazil in 2020 with 13 diferent features. The data was obtained as a result of web scraping and this is why there could be some values in the dataset that can be considered outliers. Attribute Description *rent_amount*, *property_tax*, *fire_insurance* columns should be ignored if *total* is taken as the target feature for the task, as they are part of *total*. 1. *city* 2. *area* 3. *rooms* 4. *bathroom* 5. *parking_spaces* 6. *floor* 7. *animal* - "accept" or "not accept" 8. *furniture* - "furnished" or "not furnished" 9. *hoa* 10. *rent_amount* 11. *property_tax* 12. *fire_insurance* 13. *total* - target feature

10 features

total (target)numeric5751 unique values
0 missing
citynominal5 unique values
0 missing
areanumeric517 unique values
0 missing
roomsnumeric11 unique values
0 missing
bathroomnumeric10 unique values
0 missing
parking_spacesnumeric11 unique values
0 missing
floornominal35 unique values
0 missing
animalnominal2 unique values
0 missing
furniturenominal2 unique values
0 missing
hoanumeric1679 unique values
0 missing
rent_amount (ignore)numeric1195 unique values
0 missing
property_tax (ignore)numeric1243 unique values
0 missing
fire_insurance (ignore)numeric216 unique values
0 missing

19 properties

10692
Number of instances (rows) of the dataset.
10
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.
6
Number of numeric attributes.
4
Number of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
2
Number of binary attributes.
20
Percentage of binary attributes.
0
Percentage of instances having missing values.
-5063.26
Average class difference between consecutive instances.
0
Percentage of missing values.
0
Number of attributes divided by the number of instances.
60
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
40
Percentage of nominal attributes.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: total
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