DEVELOPMENT... OpenML
Run
38200

Run 38200

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 28-10-2014 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)_I20
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
0.7874
Per class
Build CPU time
0.1958
Build memory
1032041223.1556
F measure
0.9671
Per class
Kappa
0.5701
KB relative information score
275.484
Mean absolute error
0.0284
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
0.9662
Per class
Predictive accuracy
0.9696
Prior entropy
0.2628
Recall
0.9696
Per class
Relative absolute error
0.3396
Root mean prior squared error
0.2027
Root mean squared error
0.1641
Root relative squared error
0.8095
SciMark benchmark
942.4851