DEVELOPMENT... OpenML
Run
130317

Run 130317

Task 3810 (Supervised Classification) arsenic-male-bladder 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)_I80
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
0.7843
Per class
Build CPU time
0.0616
Build memory
1401125910.1682
F measure
0.9686
Per class
Kappa
0.5858
KB relative information score
262.1237
Mean absolute error
0.0288
Mean prior absolute error
0.0837
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9681
Per class
Predictive accuracy
0.9714
Prior entropy
0.2628
Recall
0.9714
Per class
Relative absolute error
0.344
Root mean prior squared error
0.2027
Root mean squared error
0.169
Root relative squared error
0.8336
SciMark benchmark
939.0159