DEVELOPMENT... OpenML
Run
39464

Run 39464

Task 4255 (Supervised Classification) analcatdata_asbestos 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
0.7881
Per class
Build CPU time
0.0345
Build memory
303321836.4819
F measure
0.7601
Per class
Kappa
0.5131
KB relative information score
426.6276
Mean absolute error
0.239
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
0.761
Per class
Predictive accuracy
0.7614
Prior entropy
0.9919
Recall
0.7614
Per class
Relative absolute error
0.4835
Root mean prior squared error
0.4971
Root mean squared error
0.4848
Root relative squared error
0.9753
SciMark benchmark
941.4198