Data
BNG(bridges_version1)

BNG(bridges_version1)

active ARFF Publicly available Visibility: public Uploaded 28-04-2014 by Jan van Rijn
0 likes downloaded by 3 people , 3 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit

13 features

TYPE (target)nominal6 unique values
0 missing
IDENTIFnominal108 unique values
0 missing
RIVERnominal4 unique values
0 missing
LOCATIONnominal54 unique values
0 missing
ERECTEDnumeric995524 unique values
0 missing
PURPOSEnominal4 unique values
0 missing
LENGTHnumeric999643 unique values
0 missing
LANESnumeric4 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.
3
Number of numeric attributes.
10
Number of nominal attributes.
15.38
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
0.25
Average class difference between consecutive instances.
23.08
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
76.92
Percentage of nominal attributes.
42.31
Percentage of instances belonging to the most frequent class.
423139
Number of instances belonging to the most frequent class.
9.52
Percentage of instances belonging to the least frequent class.
95207
Number of instances belonging to the least frequent class.
2
Number of binary attributes.

16 tasks

19 runs - estimation_procedure: 10-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
287 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
Define a new task