DEVELOPMENT... OpenML
Run
111762

Run 111762

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I80
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8059
Per class
Build CPU time
0.1375
Build memory
165271398.6118
F measure
0.9686
Per class
Kappa
0.6065
KB relative information score
251.4628
Mean absolute error
0.0297
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
0.9679
Per class
Predictive accuracy
0.9696
Prior entropy
0.2628
Recall
0.9696
Per class
Relative absolute error
0.3554
Root mean prior squared error
0.2027
Root mean squared error
0.1708
Root relative squared error
0.8428
SciMark benchmark
939.6298