DEVELOPMENT... OpenML
Run
40991

Run 40991

Task 3889 (Supervised Classification) sylva_agnostic 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)_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
0.9935
Per class
Build CPU time
2321.6192
Build memory
923579181.6486
F measure
0.9947
Per class
Kappa
0.9544
KB relative information score
13398.5307
Mean absolute error
0.0055
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
0.9948
Per class
Predictive accuracy
0.9947
Prior entropy
0.3338
Recall
0.9947
Per class
Relative absolute error
0.0474
Root mean prior squared error
0.2403
Root mean squared error
0.072
Root relative squared error
0.2997
SciMark benchmark
935.2997