Data
Motorcycle-Dataset

Motorcycle-Dataset

active ARFF Database: Open Database, Contents: Database Contents Visibility: public Uploaded 24-03-2022 by Elif Ceren Gok
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This dataset contains information about used motorcycles This data can be used for a lot of purposes such as price prediction to exemplify the use of linear regression in Machine Learning. The columns in the given dataset are as follows: name selling price year seller type owner km driven ex showroom price For used car datasets please go to https://www.kaggle.com/nehalbirla/vehicle-dataset-from-cardekho

7 features

namestring279 unique values
0 missing
selling_pricenumeric130 unique values
0 missing
yearnumeric28 unique values
0 missing
seller_typestring2 unique values
0 missing
ownerstring4 unique values
0 missing
km_drivennumeric304 unique values
0 missing
ex_showroom_pricenumeric230 unique values
435 missing

19 properties

1061
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
435
Number of missing values in the dataset.
435
Number of instances with at least one value missing.
4
Number of numeric attributes.
0
Number of nominal attributes.
0.01
Number of attributes divided by the number of instances.
57.14
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.
41
Percentage of instances having missing values.
Average class difference between consecutive instances.
5.86
Percentage of missing values.

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