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dresses-sales

active ARFF Publicly available Visibility: public Uploaded 11-04-2016 by Rafael G. Mantovani
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Author: Muhammad Usman & Adeel Ahmed Source: origin source at [UCI](https://archive.ics.uci.edu/ml/datasets/Dresses_Attribute_Sales) Please cite: [Paper that claims to first have used the data](https://www.researchgate.net/profile/Dalia_Jasim/publication/293464737_main_steps_for_doing_data_mining_project_using_weka/links/56b8782008ae44bb330d2583/main-steps-for-doing-data-mining-project-using-weka.pdf) ####1. Summary 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. ``` ####2: Attribute Information: ``` Recommendation:0,1 Style: Bohemia,brief,casual,cute,fashion,flare,novelty,OL,party,sexy,vintage,work. Price:Low,Average,Medium,High,Very-High Rating:1-5 Size:S,M,L,XL,Free Season:Autumn,winter,Spring,Summer NeckLine:O-neck,backless,board-neck,Bowneck,halter,mandarin-collor,open,peterpan-collor,ruffled,scoop,slash-neck,square-collar,sweetheart,turndowncollar,V-neck. SleeveLength:full,half,halfsleeves,butterfly,sleveless,short,threequarter,turndown,null waiseline:dropped,empire,natural,princess,null. Material:wool,cotton,mix etc FabricType:shafoon,dobby,popline,satin,knitted,jersey,flannel,corduroy etc Decoration:applique,beading,bow,button,cascading,crystal,draped,embroridary,feathers,flowers etc Pattern type: solid,animal,dot,leapard etc ```

13 features

Class (target)	nominal	2 unique values 0 missing
V2	nominal	13 unique values 0 missing
V3	nominal	7 unique values 2 missing
V4	numeric	17 unique values 0 missing
V5	nominal	7 unique values 0 missing
V6	nominal	8 unique values 2 missing
V7	nominal	16 unique values 3 missing
V8	nominal	17 unique values 2 missing
V9	nominal	4 unique values 87 missing
V10	nominal	23 unique values 128 missing
V11	nominal	22 unique values 266 missing
V12	nominal	24 unique values 236 missing
V13	nominal	14 unique values 109 missing

Show all 13 features

62 properties

NumberOfInstances

500

Number of instances (rows) of the dataset.

NumberOfFeatures

Number of attributes (columns) of the dataset.

NumberOfClasses

Number of distinct values of the target attribute (if it is nominal).

NumberOfMissingValues

835

Number of missing values in the dataset.

NumberOfInstancesWithMissingValues

401

Number of instances with at least one value missing.

NumberOfNumericFeatures

Number of numeric attributes.

NumberOfSymbolicFeatures

Number of nominal attributes.

PercentageOfBinaryFeatures

7.69

Percentage of binary attributes.

Quartile2StdDevOfNumericAtts

2.01

Second quartile (Median) of standard deviation of attributes of the numeric type.

MaxAttributeEntropy

2.81

Maximum entropy among attributes.

MinKurtosisOfNumericAtts

-0.58

Minimum kurtosis among attributes of the numeric type.

PercentageOfInstancesWithMissingValues

80.2

Percentage of instances having missing values.

Quartile3AttributeEntropy

2.57

Third quartile of entropy among attributes.

MaxKurtosisOfNumericAtts

-0.58

Maximum kurtosis among attributes of the numeric type.

MinMeansOfNumericAtts

3.53

Minimum of means among attributes of the numeric type.

PercentageOfMissingValues

12.85

Percentage of missing values.

Quartile3KurtosisOfNumericAtts

-0.58

Third quartile of kurtosis among attributes of the numeric type.

MaxMeansOfNumericAtts

3.53

Maximum of means among attributes of the numeric type.

MinMutualInformation

0.01

Minimal mutual information between the nominal attributes and the target attribute.

PercentageOfNumericFeatures

7.69

Percentage of numeric attributes.

Quartile3MeansOfNumericAtts

3.53

Third quartile of means among attributes of the numeric type.

MaxMutualInformation

0.05

Maximum mutual information between the nominal attributes and the target attribute.

MinNominalAttDistinctValues

The minimal number of distinct values among attributes of the nominal type.

PercentageOfSymbolicFeatures

92.31

Percentage of nominal attributes.

Quartile3MutualInformation

0.04

Third quartile of mutual information between the nominal attributes and the target attribute.

MaxNominalAttDistinctValues

The maximum number of distinct values among attributes of the nominal type.

MinSkewnessOfNumericAtts

-1.16

Minimum skewness among attributes of the numeric type.

Quartile1AttributeEntropy

1.98

First quartile of entropy among attributes.

Quartile3SkewnessOfNumericAtts

-1.16

Third quartile of skewness among attributes of the numeric type.

MaxSkewnessOfNumericAtts

-1.16

Maximum skewness among attributes of the numeric type.

MinStdDevOfNumericAtts

2.01

Minimum standard deviation of attributes of the numeric type.

Quartile1KurtosisOfNumericAtts

-0.58

First quartile of kurtosis among attributes of the numeric type.

Quartile3StdDevOfNumericAtts

2.01

Third quartile of standard deviation of attributes of the numeric type.

MaxStdDevOfNumericAtts

2.01

Maximum standard deviation of attributes of the numeric type.

MinorityClassPercentage

Percentage of instances belonging to the least frequent class.

Quartile1MeansOfNumericAtts

3.53

First quartile of means among attributes of the numeric type.

StdvNominalAttDistinctValues

7.55

Standard deviation of the number of distinct values among attributes of the nominal type.

MeanAttributeEntropy

2.23

Average entropy of the attributes.

MinorityClassSize

210

Number of instances belonging to the least frequent class.

Quartile1MutualInformation

0.03

First quartile of mutual information between the nominal attributes and the target attribute.

MeanKurtosisOfNumericAtts

-0.58

Mean kurtosis among attributes of the numeric type.

NumberOfBinaryFeatures

Number of binary attributes.

Quartile1SkewnessOfNumericAtts

-1.16

First quartile of skewness among attributes of the numeric type.

MeanMeansOfNumericAtts

3.53

Mean of means among attributes of the numeric type.

Quartile1StdDevOfNumericAtts

2.01

First quartile of standard deviation of attributes of the numeric type.

AutoCorrelation

0.47

Average class difference between consecutive instances.

MeanMutualInformation

0.03

Average mutual information between the nominal attributes and the target attribute.

Quartile2AttributeEntropy

2.32

Second quartile (Median) of entropy among attributes.

ClassEntropy

0.98

Entropy of the target attribute values.

MeanNoiseToSignalRatio

68.23

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

Quartile2KurtosisOfNumericAtts

-0.58

Second quartile (Median) of kurtosis among attributes of the numeric type.

Dimensionality

0.03

Number of attributes divided by the number of instances.

MeanNominalAttDistinctValues

13.08

Average number of distinct values among the attributes of the nominal type.

Quartile2MeansOfNumericAtts

3.53

Second quartile (Median) of means among attributes of the numeric type.

EquivalentNumberOfAtts

30.47

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

MeanSkewnessOfNumericAtts

-1.16

Mean skewness among attributes of the numeric type.

Quartile2MutualInformation

0.04

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

MajorityClassPercentage

Percentage of instances belonging to the most frequent class.

MeanStdDevOfNumericAtts

2.01

Mean standard deviation of attributes of the numeric type.

Quartile2SkewnessOfNumericAtts