DEVELOPMENT... OpenML
Run
131014

Run 131014

Task 3917 (Supervised Classification) kc1 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
0.6563
Per class
Build CPU time
1.3572
Build memory
841728424.4817
F measure
0.8152
Per class
Kappa
0.2591
KB relative information score
264.2595
Mean absolute error
0.1865
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.808
Per class
Predictive accuracy
0.825
Prior entropy
0.622
Recall
0.825
Per class
Relative absolute error
0.7129
Root mean prior squared error
0.3615
Root mean squared error
0.3952
Root relative squared error
1.0933
SciMark benchmark
927.3354

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