OpenML
House-Rent-in-Indian-Cities-and-Localities

House-Rent-in-Indian-Cities-and-Localities

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Computer Systems Machine Learning
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Content This is a 10692 rows x 13 columns dataset that contains the different features of a property and its rent Acknowledgements This is a synthetic Indian dataset of the original dataset that has been uploaded by rubenssjr Original dataset: https://www.kaggle.com/rubenssjr/brasilian-houses-to-rent

13 features

citystring5 unique values
0 missing
areastring1406 unique values
0 missing
roomsnumeric11 unique values
0 missing
bathroomnumeric10 unique values
0 missing
parking_spacesnumeric11 unique values
0 missing
floorstring35 unique values
0 missing
animal_allowancestring2 unique values
0 missing
furniturestring2 unique values
0 missing
association_taxnumeric1679 unique values
0 missing
rent_amountnumeric1195 unique values
0 missing
property_taxnumeric1243 unique values
0 missing
fire_insurancenumeric216 unique values
0 missing
total_rentnumeric5751 unique values
0 missing

19 properties

10692
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
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.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
61.54
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.
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.
Average class difference between consecutive instances.
0
Percentage of missing values.

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