DEVELOPMENT... OpenML
Run
129435

Run 129435

Task 3054 (Supervised Classification) monks-problems-2 Uploaded 25-12-2014 by Felicia West
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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)_I40
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
0.5763
Per class
Build CPU time
0.011
Build memory
669720464
F measure
0.4742
Per class
Kappa
-0.0805
KB relative information score
3.0064
Mean absolute error
0.4438
Mean prior absolute error
0.4588
Number of instances
198
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4218
Per class
Predictive accuracy
0.5859
Prior entropy
0.9279
Recall
0.5859
Per class
Relative absolute error
0.9672
Root mean prior squared error
0.4831
Root mean squared error
0.4873
Root relative squared error
1.0087
SciMark benchmark
916.8903