DEVELOPMENT... OpenML
Run
162893

Run 162893

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_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.

22 Evaluation measures

Area under ROC curve
0.793
Per class
F measure
0.8181
Per class
Kappa
0.1366
KB relative information score
176.9975
Mean absolute error
0.1351
Mean prior absolute error
0.2462
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
0.8686
Per class
Predictive accuracy
0.8676
Prior entropy
0.5956
Recall
0.8676
Per class
Relative absolute error
0.5489
Root mean prior squared error
0.3502
Root mean squared error
0.3597
Root relative squared error
1.0272
SciMark benchmark
922.9039
UserCPU time millis
20
UserCPU time millis training
20