DEVELOPMENT... OpenML
Run
130849

Run 130849

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.8532
Per class
Build CPU time
0.1545
Build memory
702826542.4
F measure
0.8258
Per class
Kappa
0.6497
KB relative information score
322.0517
Mean absolute error
0.1771
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8259
Per class
Predictive accuracy
0.826
Prior entropy
0.9967
Recall
0.826
Per class
Relative absolute error
0.3558
Root mean prior squared error
0.4988
Root mean squared error
0.4137
Root relative squared error
0.8293
SciMark benchmark
927.3354