DEVELOPMENT... OpenML
Run
130905

Run 130905

Task 3798 (Supervised Classification) fri_c1_250_10 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)_I160
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
0.8428
Per class
Build CPU time
0.137
Build memory
798232202.4
F measure
0.8002
Per class
Kappa
0.5949
KB relative information score
146.3706
Mean absolute error
0.2034
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8005
Per class
Predictive accuracy
0.8
Prior entropy
0.9898
Recall
0.8
Per class
Relative absolute error
0.4126
Root mean prior squared error
0.4964
Root mean squared error
0.4419
Root relative squared error
0.8903
SciMark benchmark
927.3354