DEVELOPMENT... OpenML
Run
40631

Run 40631

Task 3893 (Supervised Classification) sylva_prior 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
0.9929
Per class
Build CPU time
983.2278
Build memory
1121007064.7136
F measure
0.9945
Per class
Kappa
0.9526
KB relative information score
13389.4585
Mean absolute error
0.0056
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9946
Per class
Predictive accuracy
0.9944
Prior entropy
0.3338
Recall
0.9944
Per class
Relative absolute error
0.0486
Root mean prior squared error
0.2403
Root mean squared error
0.0739
Root relative squared error
0.3073
SciMark benchmark
942.3742