DEVELOPMENT... OpenML
Run
52278

Run 52278

Task 1711 (Learning Curve) mfeat-factors Uploaded 07-11-2014 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.

21 Evaluation measures

Area under ROC curve
0.7639 ± 0.0176
Per class
Build CPU time
0.1524
Build memory
270848772.5091
F measure
0.3782 ± 0.0184
Per class
Kappa
0.3189 ± 0.0195
KB relative information score
0.4105 ± 0.0205
Mean absolute error
0.1259 ± 0.0031
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.3776 ± 0.0188
Per class
Predictive accuracy
0.387 ± 0.0175
Prior entropy
3.3219
Recall
0.387 ± 0.0175
Per class
Relative absolute error
0.6996 ± 0.017
Root mean prior squared error
0.3
Root mean squared error
0.2965 ± 0.0055
Root relative squared error
0.9883 ± 0.0182
SciMark benchmark
1653.7854