DEVELOPMENT... OpenML
Run
40809

Run 40809

Task 4255 (Supervised Classification) analcatdata_asbestos 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
0.774
Per class
Build CPU time
0.0601
Build memory
772844441.3687
F measure
0.7564
Per class
Kappa
0.5056
KB relative information score
420.6299
Mean absolute error
0.2425
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
0.7574
Per class
Predictive accuracy
0.7578
Prior entropy
0.9919
Recall
0.7578
Per class
Relative absolute error
0.4907
Root mean prior squared error
0.4971
Root mean squared error
0.4877
Root relative squared error
0.9811
SciMark benchmark
946.7854