DEVELOPMENT... OpenML
Run
129383

Run 129383

Task 2065 (Supervised Classification) primary-tumor 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
0.5307
Per class
Build CPU time
0.003
Build memory
709313422.6313
F measure
0.1412
Per class
Kappa
0.07
KB relative information score
54.0317
Mean absolute error
0.066
Mean prior absolute error
0.0812
Number of instances
339
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1063
Per class
Predictive accuracy
0.2743
Prior entropy
3.7542
Recall
0.2743
Per class
Relative absolute error
0.8123
Root mean prior squared error
0.2011
Root mean squared error
0.2568
Root relative squared error
1.2773
SciMark benchmark
916.8903