DEVELOPMENT... OpenML
Run
128973

Run 128973

Task 3646 (Supervised Classification) rabe_265 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
0.6111
Per class
Build CPU time
0.0029
Build memory
1207493742.1177
F measure
0.6439
Per class
Kappa
0.2609
KB relative information score
11.1099
Mean absolute error
0.3806
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6428
Per class
Predictive accuracy
0.6471
Prior entropy
0.9791
Recall
0.6471
Per class
Relative absolute error
0.7848
Root mean prior squared error
0.4922
Root mean squared error
0.5741
Root relative squared error
1.1665
SciMark benchmark
937.9119