Data
BNG(soybean)

BNG(soybean)

active ARFF Publicly available Visibility: public Uploaded 09-04-2014 by Jan van Rijn
1 likes downloaded by 8 people , 9 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit

36 features

class (target)nominal19 unique values
0 missing
datenominal7 unique values
0 missing
plant-standnominal2 unique values
0 missing
precipnominal3 unique values
0 missing
tempnominal3 unique values
0 missing
hailnominal2 unique values
0 missing
crop-histnominal4 unique values
0 missing
area-damagednominal4 unique values
0 missing
severitynominal3 unique values
0 missing
seed-tmtnominal3 unique values
0 missing
germinationnominal3 unique values
0 missing
plant-growthnominal2 unique values
0 missing
leavesnominal2 unique values
0 missing
leafspots-halonominal3 unique values
0 missing
leafspots-margnominal3 unique values
0 missing
leafspot-sizenominal3 unique values
0 missing
leaf-shreadnominal2 unique values
0 missing
leaf-malfnominal2 unique values
0 missing
leaf-mildnominal3 unique values
0 missing
stemnominal2 unique values
0 missing
lodgingnominal2 unique values
0 missing
stem-cankersnominal4 unique values
0 missing
canker-lesionnominal4 unique values
0 missing
fruiting-bodiesnominal2 unique values
0 missing
external-decaynominal3 unique values
0 missing
myceliumnominal2 unique values
0 missing
int-discolornominal3 unique values
0 missing
sclerotianominal2 unique values
0 missing
fruit-podsnominal4 unique values
0 missing
fruit-spotsnominal5 unique values
0 missing
seednominal2 unique values
0 missing
mold-growthnominal2 unique values
0 missing
seed-discolornominal2 unique values
0 missing
seed-sizenominal2 unique values
0 missing
shrivelingnominal2 unique values
0 missing
rootsnominal3 unique values
0 missing
Show all 36 features

19 properties

NumberOfInstances
1000000
Number of instances (rows) of the dataset.
NumberOfFeatures
36
Number of attributes (columns) of the dataset.
NumberOfClasses
19
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
0
Number of numeric attributes.
NumberOfSymbolicFeatures
36
Number of nominal attributes.
NumberOfBinaryFeatures
16
Number of binary attributes.
PercentageOfBinaryFeatures
44.44
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
0.09
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
0
Percentage of numeric attributes.
MajorityClassPercentage
13.33
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
100
Percentage of nominal attributes.
MajorityClassSize
133345
Number of instances belonging to the most frequent class.
MinorityClassPercentage
1.24
Percentage of instances belonging to the least frequent class.
MinorityClassSize
12441
Number of instances belonging to the least frequent class.
Show all 19 properties

26 tasks

Supervised Classification on BNG(soybean)
14 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(soybean)
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(soybean)
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Classification on BNG(soybean)
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
Supervised Classification on BNG(soybean)
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Learning Curve on BNG(soybean)
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
Supervised Data Stream Classification on BNG(soybean)
300 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Clustering on BNG(soybean)
0 runs - estimation_procedure: 50 times Clustering
Define a new task