DEVELOPMENT... OpenML
Run
49010

Run 49010

Task 1714 (Learning Curve) breast-w 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
0.9892 ± 0.0083
Per class
Build CPU time
0.0032
Build memory
2546411582.8
F measure
0.9584 ± 0.0215
Per class
Kappa
0.9079 ± 0.0469
KB relative information score
0.8847 ± 0.0469
Mean absolute error
0.0525 ± 0.0204
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9584 ± 0.0211
Per class
Predictive accuracy
0.9585 ± 0.0217
Prior entropy
0.9293 ± 0.0043
Recall
0.9585 ± 0.0217
Per class
Relative absolute error
0.1162 ± 0.0452
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1869 ± 0.0479
Root relative squared error
0.3932 ± 0.1007
SciMark benchmark
1655.4655