DEVELOPMENT... OpenML
Run
47226

Run 47226

Task 1752 (Learning Curve) vehicle Uploaded 05-11-2014 by Jason
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  • 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
0.7569 ± 0.0235
Per class
Build CPU time
0.0074
Build memory
1355448871.6444
F measure
0.5202 ± 0.057
Per class
Kappa
0.367 ± 0.0733
KB relative information score
0.4223 ± 0.0423
Mean absolute error
0.2493 ± 0.0145
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.519 ± 0.0623
Per class
Predictive accuracy
0.5248 ± 0.0548
Prior entropy
1.9991 ± 0.0005
Recall
0.5248 ± 0.0548
Per class
Relative absolute error
0.6651 ± 0.0387
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.4196 ± 0.0219
Root relative squared error
0.9691 ± 0.0507
SciMark benchmark
1445.6628