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dresses-sales

dresses-sales

active ARFF Publicly available Visibility: public Uploaded 27-01-2023 by Smith
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This dataset contain attributes of dresses and their recommendations according to their sales. Sales are monitor on the basis of alternate days.The attributes present analyzed are: Recommendation, Style, Price, Rating, Size, Season, NeckLine, SleeveLength, waiseline, Material, FabricType, Decoration, Pattern, Type. In this dataset they are named Class(target) and then subsequently V2 - V13.Contact:Muhammad Usman & Adeel Ahmed, usman.madspot '@' gmail.com adeel.ahmed92 '@' gmail.com, Air University, Students at Air University.

13 features

class (target)numeric2 unique values
0 missing
V4numeric17 unique values
0 missing
V2nominal13 unique values
0 missing
V3nominal8 unique values
0 missing
V5nominal7 unique values
0 missing
V6nominal9 unique values
0 missing
V7nominal17 unique values
0 missing
V8nominal18 unique values
0 missing
V9nominal5 unique values
0 missing
V10nominal24 unique values
0 missing
V11nominal23 unique values
0 missing
V12nominal25 unique values
0 missing
V13nominal15 unique values
0 missing
Show all 13 features

19 properties

NumberOfInstances
500
Number of instances (rows) of the dataset.
NumberOfFeatures
13
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
2
Number of numeric attributes.
NumberOfSymbolicFeatures
11
Number of nominal attributes.
PercentageOfSymbolicFeatures
84.62
Percentage of nominal attributes.
AutoCorrelation
0.96
Average class difference between consecutive instances.
PercentageOfNumericFeatures
15.38
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Dimensionality
0.03
Number of attributes divided by the number of instances.
Show all 19 properties

1 tasks

Supervised Classification on dresses-sales
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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