DEVELOPMENT... OpenML
Run
35618

Run 35618

Task 3889 (Supervised Classification) sylva_agnostic 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)_I10
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
0.9906
Per class
Build CPU time
175.3662
Build memory
185579986.7637
F measure
0.9932
Per class
Kappa
0.9414
KB relative information score
13150.715
Mean absolute error
0.007
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
0.9933
Per class
Predictive accuracy
0.9931
Prior entropy
0.3338
Recall
0.9931
Per class
Relative absolute error
0.0608
Root mean prior squared error
0.2403
Root mean squared error
0.0825
Root relative squared error
0.3433
SciMark benchmark
943.404