DEVELOPMENT... OpenML
Run
41125

Run 41125

Task 3813 (Supervised Classification) arsenic-female-lung 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
0.8891
Per class
Build CPU time
0.5058
Build memory
1228660500.8229
F measure
0.9866
Per class
Kappa
0.7816
KB relative information score
369.5356
Mean absolute error
0.0133
Mean prior absolute error
0.0672
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
0.9869
Per class
Predictive accuracy
0.9875
Prior entropy
0.222
Recall
0.9875
Per class
Relative absolute error
0.1975
Root mean prior squared error
0.1812
Root mean squared error
0.1133
Root relative squared error
0.6251
SciMark benchmark
944.5683