DEVELOPMENT... OpenML
Run
95592

Run 95592

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 08-12-2014 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)_I10
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
0.9042
Per class
Build CPU time
0.0112
Build memory
459388989.381
F measure
0.9775
Per class
Kappa
0.6935
KB relative information score
274.3758
Mean absolute error
0.0323
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
0.9807
Per class
Predictive accuracy
0.9803
Prior entropy
0.2628
Recall
0.9803
Per class
Relative absolute error
0.3865
Root mean prior squared error
0.2027
Root mean squared error
0.1392
Root relative squared error
0.6865
SciMark benchmark
933.4176