DEVELOPMENT... OpenML
Run
129530

Run 129530

Task 3599 (Supervised Classification) machine_cpu 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
0.9616
Per class
Build CPU time
0.0224
Build memory
500066259.9809
F measure
0.9469
Per class
Kappa
0.8635
KB relative information score
173.1099
Mean absolute error
0.0611
Mean prior absolute error
0.3933
Number of instances
209
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9469
Per class
Predictive accuracy
0.9474
Prior entropy
0.8417
Recall
0.9474
Per class
Relative absolute error
0.1553
Root mean prior squared error
0.4429
Root mean squared error
0.2323
Root relative squared error
0.5245
SciMark benchmark
916.8903