OpenML
73563

Run 73563

Task 3912 (Supervised Classification) ar5 Uploaded 01-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
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
0.846
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0034
Cross-validation details (10-fold Crossvalidation)
Build memory
1494128080
Cross-validation details (10-fold Crossvalidation)
F measure
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5179
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14.6881
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1944
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3538
Cross-validation details (10-fold Crossvalidation)
Number of instances
36
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8333
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7897
Cross-validation details (10-fold Crossvalidation)
Recall
0.8333
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5496
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.416
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3536
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8499
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
785.9104