DEVELOPMENT... OpenML
Run
41119

Run 41119

Task 3812 (Supervised Classification) arsenic-female-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
0.7012
Per class
Build CPU time
0.8501
Build memory
1341917594.4329
F measure
0.8425
Per class
Kappa
0.3085
KB relative information score
147.681
Mean absolute error
0.1447
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
0.8359
Per class
Predictive accuracy
0.8569
Prior entropy
0.5956
Recall
0.8569
Per class
Relative absolute error
0.5877
Root mean prior squared error
0.3502
Root mean squared error
0.3667
Root relative squared error
1.0471
SciMark benchmark
890.4487