DEVELOPMENT... OpenML
Run
128619

Run 128619

Task 3923 (Supervised Classification) datatrieve 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)_I10
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
0.5355
Per class
Build CPU time
0.0032
Build memory
353389424
F measure
0.8473
Per class
Kappa
-0.0704
KB relative information score
-28.5086
Mean absolute error
0.1365
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8335
Per class
Predictive accuracy
0.8615
Prior entropy
0.4395
Recall
0.8615
Per class
Relative absolute error
0.8524
Root mean prior squared error
0.2784
Root mean squared error
0.3563
Root relative squared error
1.28
SciMark benchmark
943.5504