DEVELOPMENT... OpenML
Run
40157

Run 40157

Task 4620 (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)_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
0.6359
Per class
Build CPU time
5.3096
Build memory
1007445847.7275
F measure
0.877
Per class
Kappa
0.1837
KB relative information score
808.0624
Mean absolute error
0.1042
Mean prior absolute error
0.1716
Number of instances
4580
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8672
Per class
Predictive accuracy
0.8954
Prior entropy
0.4551
Recall
0.8954
Per class
Relative absolute error
0.607
Root mean prior squared error
0.2917
Root mean squared error
0.3189
Root relative squared error
1.0933
SciMark benchmark
945.8425

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