Data
Honey_bee_Seasonal_mortality

Honey_bee_Seasonal_mortality

active ARFF Attribution-NoDerivs (CC BY-ND) Visibility: public Uploaded 30-06-2017 by Carsten Behring
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Data from https://doi.org/10.5281/zenodo.269636

39 features

ID_apinominal4758 unique values
0 missing
Seasonal_mortalitynumeric46 unique values
0 missing
Agenominal4 unique values
0 missing
Activitynominal3 unique values
0 missing
Beekeep_fornominal3 unique values
0 missing
Qualifnominal2 unique values
0 missing
Trainingnominal2 unique values
0 missing
Coop_treatnominal2 unique values
0 missing
Bee_population_sizenominal6 unique values
0 missing
Countrynominal16 unique values
0 missing
Apiary_Sizenominal5 unique values
0 missing
Productionnominal7 unique values
0 missing
Apiarist_booknominal2 unique values
0 missing
Org_membernominal2 unique values
0 missing
Continuenominal2 unique values
0 missing
Breednominal8 unique values
0 missing
Chronic_Depopnominal2 unique values
0 missing
ClinSign_Broodnominal2 unique values
0 missing
ClinSign_Honeybeesnominal2 unique values
0 missing
H_Rate_ColMortalitynominal2 unique values
0 missing
H_Rate_HoneyMortalitynominal2 unique values
0 missing
OtherEventnominal2 unique values
0 missing
VarroaMitesnominal2 unique values
0 missing
QueenProblemsnominal2 unique values
0 missing
Managementnominal8 unique values
0 missing
Swarm_boughtnominal5 unique values
0 missing
Swarm_producednominal5 unique values
0 missing
Queen_boughtnominal5 unique values
0 missing
Queen_producednominal5 unique values
0 missing
Environmentnominal7 unique values
0 missing
VarroosisV2nominal2 unique values
0 missing
ChronicParalysisV2nominal2 unique values
0 missing
AmericanFoulbroodV2nominal2 unique values
0 missing
NosemosisV2nominal2 unique values
0 missing
EuropeanFoulbroodV2nominal2 unique values
0 missing
Migrationnominal2 unique values
0 missing
Mergernominal2 unique values
0 missing
Winter_Mortality_Classnominal6 unique values
0 missing
Programnominal2 unique values
0 missing

62 properties

4758
Number of instances (rows) of the dataset.
39
Number of attributes (columns) of the dataset.
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.
1
Number of numeric attributes.
38
Number of nominal attributes.
12.18
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
5.12
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
31.78
Minimum kurtosis among attributes of the numeric type.
56.41
Percentage of binary attributes.
12.18
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
3.65
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
31.78
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
31.78
Third quartile of kurtosis among attributes of the numeric type.
3.65
Maximum of means among attributes of the numeric type.
2
The minimal number of distinct values among attributes of the nominal type.
2.56
Percentage of numeric attributes.
3.65
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
5.12
Minimum skewness among attributes of the numeric type.
97.44
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
4758
The maximum number of distinct values among attributes of the nominal type.
12.18
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
5.12
Third quartile of skewness among attributes of the numeric type.
5.12
Maximum skewness among attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
31.78
First quartile of kurtosis among attributes of the numeric type.
12.18
Third quartile of standard deviation of attributes of the numeric type.
12.18
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
3.65
First quartile of means among attributes of the numeric type.
771.25
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
22
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
31.78
Mean kurtosis among attributes of the numeric type.
5.12
First quartile of skewness among attributes of the numeric type.
3.65
Mean of means among attributes of the numeric type.
12.18
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
31.78
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.01
Number of attributes divided by the number of instances.
128.82
Average number of distinct values among the attributes of the nominal type.
5.12
Mean skewness among attributes of the numeric type.
3.65
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

4 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: H_Rate_ColMortality
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mse - target_feature: H_Rate_ColMortality
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: kappa - target_feature: Winter_Mortality_Class
Define a new task