DEVELOPMENT... OpenML
Run
130639

Run 130639

Task 3057 (Supervised Classification) SPECTF 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
0.8374
Per class
Build CPU time
0.3
Build memory
803934792
F measure
0.8595
Per class
Kappa
0.6537
KB relative information score
74.2753
Mean absolute error
0.1362
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8588
Per class
Predictive accuracy
0.8609
Prior entropy
0.8464
Recall
0.8609
Per class
Relative absolute error
0.3376
Root mean prior squared error
0.4525
Root mean squared error
0.3634
Root relative squared error
0.803
SciMark benchmark
927.3354