DEVELOPMENT... OpenML
Run
129104

Run 129104

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)_I20
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
0.8594
Per class
Build CPU time
0.0144
Build memory
755074388.8
F measure
0.7524
Per class
Kappa
0.4987
KB relative information score
123.746
Mean absolute error
0.2469
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
0.7532
Per class
Predictive accuracy
0.752
Prior entropy
0.9898
Recall
0.752
Per class
Relative absolute error
0.501
Root mean prior squared error
0.4964
Root mean squared error
0.4586
Root relative squared error
0.9239
SciMark benchmark
909.5718