DEVELOPMENT... OpenML
Run
61398

Run 61398

Task 1722 (Learning Curve) cmc Uploaded 16-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_OneR(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.OneR(3)_B6
weka.MultiBoostAB_OneR(2)_C3
weka.MultiBoostAB_OneR(2)_P100
weka.MultiBoostAB_OneR(2)_S1
weka.MultiBoostAB_OneR(2)_I10
weka.MultiBoostAB_OneR(2)_Wweka.classifiers.rules.OneR

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
0.5746 ± 0.0462
Per class
Build CPU time
0.0011
Build memory
2868465770.88
F measure
0.4182 ± 0.0453
Per class
Kappa
0.1439 ± 0.0918
KB relative information score
0.2169 ± 0.0778
Mean absolute error
0.3571 ± 0.0373
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.4724 ± 0.0913
Per class
Predictive accuracy
0.4644 ± 0.056
Prior entropy
1.539 ± 0.0029
Recall
0.4644 ± 0.056
Per class
Relative absolute error
0.8289 ± 0.0868
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.5976 ± 0.0308
Root relative squared error
1.2876 ± 0.0665
SciMark benchmark
1577.6335