DEVELOPMENT... OpenML
Run
49011

Run 49011

Task 1715 (Learning Curve) mfeat-karhunen Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_OneR(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_OneR(2)_I10
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
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
0.6089 ± 0.0177
Per class
Build CPU time
0.008
Build memory
1283176295.7091
F measure
0.2943 ± 0.0291
Per class
Kappa
0.2178 ± 0.0354
KB relative information score
0.2638 ± 0.0333
Mean absolute error
0.1408 ± 0.0064
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
0.2971 ± 0.0252
Per class
Predictive accuracy
0.296 ± 0.0319
Prior entropy
3.3219
Recall
0.296 ± 0.0319
Per class
Relative absolute error
0.7822 ± 0.0354
Root mean prior squared error
0.3
Root mean squared error
0.3752 ± 0.0085
Root relative squared error
1.2508 ± 0.0282
SciMark benchmark
1655.4655