DEVELOPMENT... OpenML
Run
39080

Run 39080

Task 3915 (Supervised Classification) kc3 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
0.6541
Per class
Build CPU time
2.0592
Build memory
804141826.1834
F measure
0.8785
Per class
Kappa
0.2008
KB relative information score
74.1251
Mean absolute error
0.1052
Mean prior absolute error
0.1716
Number of instances
458
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8693
Per class
Predictive accuracy
0.8952
Prior entropy
0.4551
Recall
0.8952
Per class
Relative absolute error
0.6133
Root mean prior squared error
0.2917
Root mean squared error
0.3169
Root relative squared error
1.0866
SciMark benchmark
943.8925