DEVELOPMENT... OpenML
Run
44961

Run 44961

Task 3561 (Supervised Classification) profb 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
0.6992
Per class
Build CPU time
2.402
Build memory
117583587.5595
F measure
0.6769
Per class
Kappa
0.2545
KB relative information score
182.9491
Mean absolute error
0.3083
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6748
Per class
Predictive accuracy
0.692
Prior entropy
0.9188
Recall
0.692
Per class
Relative absolute error
0.6934
Root mean prior squared error
0.4714
Root mean squared error
0.5281
Root relative squared error
1.1202
SciMark benchmark
931.1116