DEVELOPMENT... OpenML
Run
40905

Run 40905

Task 4529 (Supervised Classification) analcatdata_broadwaymult 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
0.8254
Per class
Build CPU time
0.3739
Build memory
740054667.3656
F measure
0.7692
Per class
Kappa
0.5237
KB relative information score
1484.6691
Mean absolute error
0.2293
Mean prior absolute error
0.4853
Number of instances
2850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7689
Per class
Predictive accuracy
0.7695
Prior entropy
0.9789
Recall
0.7695
Per class
Relative absolute error
0.4724
Root mean prior squared error
0.4926
Root mean squared error
0.4658
Root relative squared error
0.9457
SciMark benchmark
946.7854