DEVELOPMENT... OpenML
Run
129258

Run 129258

Task 36 (Supervised Classification) segment 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)_I40
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
0.9777
Per class
Build CPU time
0.4837
Build memory
1525198899.2
F measure
0.8464
Per class
Kappa
0.8217
KB relative information score
1921.5373
Mean absolute error
0.053
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8463
Per class
Predictive accuracy
0.8472
Prior entropy
2.8074
Recall
0.8472
Per class
Relative absolute error
0.2162
Root mean prior squared error
0.3499
Root mean squared error
0.1807
Root relative squared error
0.5164
SciMark benchmark
909.5718