DEVELOPMENT... OpenML
Run
41107

Run 41107

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 29-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7878
Per class
Build CPU time
0.8474
Build memory
1166807843.7352
F measure
0.9742
Per class
Kappa
0.6553
KB relative information score
311.2845
Mean absolute error
0.0236
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
0.9749
Per class
Predictive accuracy
0.9767
Prior entropy
0.2628
Recall
0.9767
Per class
Relative absolute error
0.2815
Root mean prior squared error
0.2027
Root mean squared error
0.1521
Root relative squared error
0.7503
SciMark benchmark
890.4487