DEVELOPMENT... OpenML
Run
128835

Run 128835

Task 3055 (Supervised Classification) monks-problems-3 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
0.9879
Per class
Build CPU time
0.012
Build memory
1313128784
F measure
0.9617
Per class
Kappa
0.9219
KB relative information score
158.5988
Mean absolute error
0.0683
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9648
Per class
Predictive accuracy
0.9615
Prior entropy
0.9989
Recall
0.9615
Per class
Relative absolute error
0.1374
Root mean prior squared error
0.4971
Root mean squared error
0.1714
Root relative squared error
0.3448
SciMark benchmark
909.5718

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