Run
54120

Run 54120

Task 1730 (Learning Curve) credit-g Uploaded 08-11-2014 by Jan van Rijn
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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
0.5432 ± 0.0669
Per class
Build CPU time
0.004
Build memory
1920331092
F measure
0.6336 ± 0.0369
Per class
Kappa
0.0901 ± 0.0918
KB relative information score
0.0933 ± 0.0689
Mean absolute error
0.362 ± 0.0266
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6314 ± 0.053
Per class
Predictive accuracy
0.683 ± 0.034
Prior entropy
0.8813
Recall
0.683 ± 0.034
Per class
Relative absolute error
0.8616 ± 0.0633
Root mean prior squared error
0.4583
Root mean squared error
0.5114 ± 0.026
Root relative squared error
1.116 ± 0.0566
SciMark benchmark
1615.5755