Data
Fish-market

Fish-market

active ARFF GPL 2 Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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Content This dataset is a record of 7 common different fish species in fish market sales. With this dataset, a predictive model can be performed using machine friendly data and estimate the weight of fish can be predicted. Acknowledgements Thanks to all who make Kernels using this dataset and also people viewed or download this data. Inspiration Multiple linear regression is a fundamental practice for this dataset. Multivariate analysis can also be performed.

7 features

Weight (target)numeric101 unique values
0 missing
Speciesstring7 unique values
0 missing
Length1numeric116 unique values
0 missing
Length2numeric93 unique values
0 missing
Length3numeric124 unique values
0 missing
Heightnumeric154 unique values
0 missing
Widthnumeric152 unique values
0 missing

19 properties

159
Number of instances (rows) of the dataset.
7
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.
0
Number of nominal attributes.
0.04
Number of attributes divided by the number of instances.
85.71
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.
-83.7
Average class difference between consecutive instances.
0
Percentage of missing values.

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