DEVELOPMENT... OpenML
Run
44647

Run 44647

Task 4255 (Supervised Classification) analcatdata_asbestos Uploaded 30-10-2014 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)_I160
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
0.7707
Per class
Build CPU time
0.125
Build memory
1254763457.1374
F measure
0.7512
Per class
Kappa
0.4949
KB relative information score
412.9432
Mean absolute error
0.2471
Mean prior absolute error
0.4943
Number of instances
830
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7527
Per class
Predictive accuracy
0.753
Prior entropy
0.9919
Recall
0.753
Per class
Relative absolute error
0.4999
Root mean prior squared error
0.4971
Root mean squared error
0.493
Root relative squared error
0.9918
SciMark benchmark
935.2997