DEVELOPMENT... OpenML
Run
44237

Run 44237

Task 4609 (Supervised Classification) jm1 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)_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
0.7323
Per class
Build CPU time
167.787
Build memory
768897766.3502
F measure
0.7607
Per class
Kappa
0.147
KB relative information score
30645.4235
Mean absolute error
0.1911
Mean prior absolute error
0.3121
Number of instances
108850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7728
Per class
Predictive accuracy
0.812
Prior entropy
0.7088
Recall
0.812
Per class
Relative absolute error
0.6124
Root mean prior squared error
0.395
Root mean squared error
0.4167
Root relative squared error
1.055
SciMark benchmark
941.2906