DEVELOPMENT... OpenML
Run
49009

Run 49009

Task 1713 (Learning Curve) mfeat-fourier 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
0.6433 ± 0.0166
Per class
Build CPU time
0.009
Build memory
3390123930.6909
F measure
0.3399 ± 0.0269
Per class
Kappa
0.2867 ± 0.0333
KB relative information score
0.3286 ± 0.0313
Mean absolute error
0.1284 ± 0.006
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
0.3308 ± 0.0262
Per class
Predictive accuracy
0.358 ± 0.0299
Prior entropy
3.3219
Recall
0.358 ± 0.0299
Per class
Relative absolute error
0.7133 ± 0.0333
Root mean prior squared error
0.3
Root mean squared error
0.3583 ± 0.0084
Root relative squared error
1.1944 ± 0.0279
SciMark benchmark
1655.4655