Data
ex2-features-holiday-person-event-en-201610

ex2-features-holiday-person-event-en-201610

in_preparation ARFF Public Domain (CC0) Visibility: public Uploaded 12-03-2018 by Mariano Rico
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Data from the English DBpedia

145 features

label (target)nominal2 unique values
0 missing
p1nominal2 unique values
0 missing
p2nominal1 unique values
0 missing
p3nominal2 unique values
0 missing
p4nominal2 unique values
0 missing
p5nominal2 unique values
0 missing
p6nominal2 unique values
0 missing
p7nominal1 unique values
0 missing
p8nominal2 unique values
0 missing
p9nominal1 unique values
0 missing
p10nominal1 unique values
0 missing
p11nominal1 unique values
0 missing
p12nominal2 unique values
0 missing
p13nominal1 unique values
0 missing
p14nominal1 unique values
0 missing
p15nominal2 unique values
0 missing
p16nominal1 unique values
0 missing
p17nominal1 unique values
0 missing
p18nominal2 unique values
0 missing
p19nominal1 unique values
0 missing
p20nominal2 unique values
0 missing
p21nominal1 unique values
0 missing
p22nominal2 unique values
0 missing
p23nominal1 unique values
0 missing
p24nominal2 unique values
0 missing
p25nominal2 unique values
0 missing
p26nominal1 unique values
0 missing
p27nominal1 unique values
0 missing
p28nominal2 unique values
0 missing
p29nominal2 unique values
0 missing
p30nominal2 unique values
0 missing
p31nominal1 unique values
0 missing
p32nominal2 unique values
0 missing
p33nominal2 unique values
0 missing
p34nominal2 unique values
0 missing
p35nominal1 unique values
0 missing
p36nominal1 unique values
0 missing
p37nominal2 unique values
0 missing
p38nominal2 unique values
0 missing
p39nominal1 unique values
0 missing
p40nominal1 unique values
0 missing
p41nominal1 unique values
0 missing
p42nominal2 unique values
0 missing
p43nominal2 unique values
0 missing
p44nominal1 unique values
0 missing
p45nominal2 unique values
0 missing
p46nominal2 unique values
0 missing
p47nominal2 unique values
0 missing
p48nominal2 unique values
0 missing
p49nominal2 unique values
0 missing
p50nominal1 unique values
0 missing
p51nominal1 unique values
0 missing
p52nominal1 unique values
0 missing
p53nominal2 unique values
0 missing
p54nominal2 unique values
0 missing
p55nominal2 unique values
0 missing
p56nominal1 unique values
0 missing
p57nominal2 unique values
0 missing
p58nominal2 unique values
0 missing
p59nominal2 unique values
0 missing
p60nominal2 unique values
0 missing
p61nominal2 unique values
0 missing
p62nominal2 unique values
0 missing
p63nominal1 unique values
0 missing
p64nominal2 unique values
0 missing
p65nominal2 unique values
0 missing
p66nominal2 unique values
0 missing
p67nominal2 unique values
0 missing
p68nominal2 unique values
0 missing
p69nominal2 unique values
0 missing
p70nominal1 unique values
0 missing
p71nominal2 unique values
0 missing
p72nominal1 unique values
0 missing
p73nominal1 unique values
0 missing
p74nominal2 unique values
0 missing
p75nominal2 unique values
0 missing
p76nominal2 unique values
0 missing
p77nominal1 unique values
0 missing
p78nominal1 unique values
0 missing
p79nominal1 unique values
0 missing
p80nominal2 unique values
0 missing
p81nominal2 unique values
0 missing
p82nominal2 unique values
0 missing
p83nominal2 unique values
0 missing
p84nominal1 unique values
0 missing
p85nominal2 unique values
0 missing
p86nominal2 unique values
0 missing
p87nominal2 unique values
0 missing
p88nominal2 unique values
0 missing
p89nominal2 unique values
0 missing
p90nominal2 unique values
0 missing
p91nominal2 unique values
0 missing
p92nominal1 unique values
0 missing
p93nominal1 unique values
0 missing
p94nominal2 unique values
0 missing
p95nominal1 unique values
0 missing
p96nominal1 unique values
0 missing
p97nominal1 unique values
0 missing
p98nominal2 unique values
0 missing
p99nominal2 unique values
0 missing
p100nominal2 unique values
0 missing
p101nominal2 unique values
0 missing
p102nominal2 unique values
0 missing
p103nominal1 unique values
0 missing
p104nominal2 unique values
0 missing
p105nominal2 unique values
0 missing
p106nominal2 unique values
0 missing
p107nominal1 unique values
0 missing
p108nominal2 unique values
0 missing
p109nominal1 unique values
0 missing
p110nominal1 unique values
0 missing
p111nominal2 unique values
0 missing
p112nominal2 unique values
0 missing
p113nominal2 unique values
0 missing
p114nominal2 unique values
0 missing
p115nominal2 unique values
0 missing
p116nominal2 unique values
0 missing
p117nominal1 unique values
0 missing
p118nominal2 unique values
0 missing
p119nominal1 unique values
0 missing
p120nominal2 unique values
0 missing
p121nominal2 unique values
0 missing
p122nominal1 unique values
0 missing
p123nominal1 unique values
0 missing
p124nominal2 unique values
0 missing
p125nominal2 unique values
0 missing
p126nominal2 unique values
0 missing
p127nominal2 unique values
0 missing
p128nominal2 unique values
0 missing
p129nominal2 unique values
0 missing
p130nominal2 unique values
0 missing
p131nominal2 unique values
0 missing
p132nominal2 unique values
0 missing
p133nominal1 unique values
0 missing
p134nominal2 unique values
0 missing
p135nominal2 unique values
0 missing
p136nominal2 unique values
0 missing
p137nominal2 unique values
0 missing
p138nominal2 unique values
0 missing
p139nominal1 unique values
0 missing
p140nominal1 unique values
0 missing
p141nominal2 unique values
0 missing
p142nominal2 unique values
0 missing
p143nominal2 unique values
0 missing
p144nominal2 unique values
0 missing

62 properties

2350
Number of instances (rows) of the dataset.
145
Number of attributes (columns) of the dataset.
2
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.
0
Number of numeric attributes.
145
Number of nominal attributes.
Mean of means among attributes of the numeric type.
First quartile of skewness among attributes of the numeric type.
1
Average class difference between consecutive instances.
0.02
Average mutual information between the nominal attributes and the target attribute.
First quartile of standard deviation of attributes of the numeric type.
1
Entropy of the target attribute values.
4.32
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
0.04
Second quartile (Median) of entropy among attributes.
0.06
Number of attributes divided by the number of instances.
1.66
Average number of distinct values among the attributes of the nominal type.
Second quartile (Median) of kurtosis among attributes of the numeric type.
42.08
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
Mean skewness among attributes of the numeric type.
Second quartile (Median) of means among attributes of the numeric type.
50
Percentage of instances belonging to the most frequent class.
Mean standard deviation of attributes of the numeric type.
0
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
1175
Number of instances belonging to the most frequent class.
0
Minimal entropy among attributes.
Second quartile (Median) of skewness among attributes of the numeric type.
0.95
Maximum entropy among attributes.
Minimum kurtosis among attributes of the numeric type.
100
Percentage of binary attributes.
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum kurtosis among attributes of the numeric type.
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
0.13
Third quartile of entropy among attributes.
Maximum of means among attributes of the numeric type.
0
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
Third quartile of kurtosis among attributes of the numeric type.
0.32
Maximum mutual information between the nominal attributes and the target attribute.
1
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of numeric attributes.
Third quartile of means among attributes of the numeric type.
2
The maximum number of distinct values among attributes of the nominal type.
Minimum skewness among attributes of the numeric type.
100
Percentage of nominal attributes.
0.02
Third quartile of mutual information between the nominal attributes and the target attribute.
Maximum skewness among attributes of the numeric type.
Minimum standard deviation of attributes of the numeric type.
0
First quartile of entropy among attributes.
Third quartile of skewness among attributes of the numeric type.
Maximum standard deviation of attributes of the numeric type.
50
Percentage of instances belonging to the least frequent class.
First quartile of kurtosis among attributes of the numeric type.
Third quartile of standard deviation of attributes of the numeric type.
0.13
Average entropy of the attributes.
1175
Number of instances belonging to the least frequent class.
First quartile of means among attributes of the numeric type.
0.47
Standard deviation of the number of distinct values among attributes of the nominal type.
Mean kurtosis among attributes of the numeric type.
145
Number of binary attributes.
0
First quartile of mutual information between the nominal attributes and the target attribute.

9 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
Define a new task