Data
BNG(bridges_version2,nominal,1000000)

BNG(bridges_version2,nominal,1000000)

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

TYPE (target)nominal6 unique values
0 missing
IDENTIFnominal108 unique values
0 missing
RIVERnominal4 unique values
0 missing
LOCATIONnominal54 unique values
0 missing
ERECTEDnominal4 unique values
0 missing
PURPOSEnominal4 unique values
0 missing
LENGTHnominal3 unique values
0 missing
LANESnominal4 unique values
0 missing
CLEAR-Gnominal2 unique values
0 missing
T-OR-Dnominal2 unique values
0 missing
MATERIALnominal3 unique values
0 missing
SPANnominal3 unique values
0 missing
REL-Lnominal3 unique values
0 missing

19 properties

1000000
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
6
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.
13
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of numeric attributes.
42.27
Percentage of instances belonging to the most frequent class.
100
Percentage of nominal attributes.
422711
Number of instances belonging to the most frequent class.
9.51
Percentage of instances belonging to the least frequent class.
95098
Number of instances belonging to the least frequent class.
2
Number of binary attributes.
15.38
Percentage of binary attributes.
0
Percentage of instances having missing values.
0.25
Average class difference between consecutive instances.
0
Percentage of missing values.

17 tasks

17 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: TYPE
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: TYPE
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: TYPE
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: TYPE
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: TYPE
49 runs - estimation_procedure: Interleaved Test then Train - target_feature: TYPE
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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