DEVELOPMENT... OpenML
Run
108790

Run 108790

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

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8925
Per class
Build CPU time
0.0961
Build memory
323061706.9911
F measure
0.9771
Per class
Kappa
0.7034
KB relative information score
242.296
Mean absolute error
0.0271
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
0.9769
Per class
Predictive accuracy
0.9785
Prior entropy
0.2628
Recall
0.9785
Per class
Relative absolute error
0.3243
Root mean prior squared error
0.2027
Root mean squared error
0.1405
Root relative squared error
0.6933
SciMark benchmark
939.0159