DEVELOPMENT... OpenML
Run
136908

Run 136908

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I160
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7776
Per class
Build CPU time
0.0058
Build memory
367987204.8945
F measure
0.9573
Per class
Kappa
0.505
KB relative information score
110.5383
Mean absolute error
0.0447
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
0.9597
Per class
Predictive accuracy
0.9553
Prior entropy
0.2628
Recall
0.9553
Per class
Relative absolute error
0.5345
Root mean prior squared error
0.2027
Root mean squared error
0.2115
Root relative squared error
1.0432
SciMark benchmark
907.1899