DEVELOPMENT... OpenML
Run
49004

Run 49004

Task 2102 (Learning Curve) eucalyptus Uploaded 06-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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
0.7605 ± 0.0234
Per class
Build CPU time
0.002
Build memory
1417293157.1
F measure
0.5796 ± 0.0327
Per class
Kappa
0.4525 ± 0.0451
KB relative information score
0.1067 ± 0.0089
Mean absolute error
0.3046 ± 0.0022
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6132 ± 0.0429
Per class
Predictive accuracy
0.572 ± 0.0388
Prior entropy
2.2621 ± 0.0043
Recall
0.572 ± 0.0388
Per class
Relative absolute error
0.9726 ± 0.0067
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3824 ± 0.0026
Root relative squared error
0.9663 ± 0.0064
SciMark benchmark
1655.4655