DEVELOPMENT... OpenML
Run
130476

Run 130476

Task 58 (Supervised Classification) waveform-5000 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
0.9168
Per class
Build CPU time
6.995
Build memory
1199666896
F measure
0.7651
Per class
Kappa
0.6488
KB relative information score
3337.3436
Mean absolute error
0.1657
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7656
Per class
Predictive accuracy
0.7658
Prior entropy
1.5849
Recall
0.7658
Per class
Relative absolute error
0.3727
Root mean prior squared error
0.4714
Root mean squared error
0.3558
Root relative squared error
0.7548
SciMark benchmark
939.0159