DEVELOPMENT... OpenML
Run
129457

Run 129457

Task 3496 (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)_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
0.9666
Per class
Build CPU time
0.144
Build memory
289241608.7335
F measure
0.9126
Per class
Kappa
0.7837
KB relative information score
253.7431
Mean absolute error
0.0983
Mean prior absolute error
0.3968
Number of instances
349
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9161
Per class
Predictive accuracy
0.9112
Prior entropy
0.8464
Recall
0.9112
Per class
Relative absolute error
0.2478
Root mean prior squared error
0.4451
Root mean squared error
0.2889
Root relative squared error
0.6491
SciMark benchmark
916.8903

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