Run
70408

Run 70408

Task 3513 (Supervised Classification) ipums_la_99-small Uploaded 01-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I80
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.5576
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
1.9891
Cross-validation details (10-fold Crossvalidation)
Build memory
898955063.0683
Cross-validation details (10-fold Crossvalidation)
F measure
0.5249
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0163
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1717.5203
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1067
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1558
Cross-validation details (10-fold Crossvalidation)
Number of instances
8844
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4764
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6524
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.7594
Cross-validation details (10-fold Crossvalidation)
Recall
0.6524
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6845
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2791
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3031
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0862
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.3187