DEVELOPMENT... OpenML
Run
55586

Run 55586

Task 1705 (Learning Curve) letter Uploaded 11-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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.

19 Evaluation measures

Area under ROC curve
0.6545 ± 0.0223
Per class
Build CPU time
0.096
Build memory
2659434325.5111
Kappa
0.1418 ± 0.0098
KB relative information score
0.2467 ± 0.0247
Mean absolute error
0.064 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.1753 ± 0.0093
Prior entropy
4.6998 ± 0.0001
Recall
0.1753 ± 0.0093
Per class
Relative absolute error
0.8647 ± 0.0048
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.2135 ± 0.0101
Root relative squared error
1.1103 ± 0.0523
SciMark benchmark
1657.0131