Data
BNG(segment)

BNG(segment)

active ARFF Publicly available Visibility: public Uploaded 08-04-2014 by Jan van Rijn
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20 features

class (target)nominal7 unique values
0 missing
region-centroid-colnominal3 unique values
0 missing
region-centroid-rownominal3 unique values
0 missing
region-pixel-countnominal1 unique values
0 missing
short-line-density-5nominal3 unique values
0 missing
short-line-density-2nominal3 unique values
0 missing
vedge-meannominal3 unique values
0 missing
vegde-sdnominal3 unique values
0 missing
hedge-meannominal3 unique values
0 missing
hedge-sdnominal3 unique values
0 missing
intensity-meannominal3 unique values
0 missing
rawred-meannominal3 unique values
0 missing
rawblue-meannominal3 unique values
0 missing
rawgreen-meannominal3 unique values
0 missing
exred-meannominal3 unique values
0 missing
exblue-meannominal3 unique values
0 missing
exgreen-meannominal3 unique values
0 missing
value-meannominal3 unique values
0 missing
saturation-meannominal3 unique values
0 missing
hue-meannominal3 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
20
Number of attributes (columns) of the dataset.
7
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.
20
Number of nominal attributes.
142366
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.14
Average class difference between consecutive instances.
0
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
100
Percentage of nominal attributes.
14.36
Percentage of instances belonging to the most frequent class.
143586
Number of instances belonging to the most frequent class.
14.24
Percentage of instances belonging to the least frequent class.

26 tasks

23 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
188 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
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
0 runs - estimation_procedure: 50 times Clustering
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