DEVELOPMENT... OpenML
Run
44775

Run 44775

Task 3774 (Supervised Classification) fri_c2_250_5 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
0.8869
Per class
Build CPU time
1.1877
Build memory
967095880
F measure
0.8837
Per class
Kappa
0.7635
KB relative information score
190.1435
Mean absolute error
0.1173
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8841
Per class
Predictive accuracy
0.884
Prior entropy
0.9898
Recall
0.884
Per class
Relative absolute error
0.2381
Root mean prior squared error
0.4964
Root mean squared error
0.341
Root relative squared error
0.687
SciMark benchmark
935.2997