DEVELOPMENT... OpenML
Run
130324

Run 130324

Task 3818 (Supervised Classification) tae 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)_I80
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
0.7622
Per class
Build CPU time
0.0147
Build memory
769758293.6159
F measure
0.7471
Per class
Kappa
0.4376
KB relative information score
52.5585
Mean absolute error
0.2887
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7462
Per class
Predictive accuracy
0.7483
Prior entropy
0.9308
Recall
0.7483
Per class
Relative absolute error
0.6384
Root mean prior squared error
0.4752
Root mean squared error
0.4599
Root relative squared error
0.9679
SciMark benchmark
925.481