DEVELOPMENT... OpenML
Run
39811

Run 39811

Task 3812 (Supervised Classification) arsenic-female-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)_I40
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
0.7473
Per class
Build CPU time
0.4264
Build memory
784508464.5295
F measure
0.8468
Per class
Kappa
0.3136
KB relative information score
175.4875
Mean absolute error
0.1346
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
0.8429
Per class
Predictive accuracy
0.8658
Prior entropy
0.5956
Recall
0.8658
Per class
Relative absolute error
0.5466
Root mean prior squared error
0.3502
Root mean squared error
0.3549
Root relative squared error
1.0134
SciMark benchmark
945.0342