DEVELOPMENT... OpenML
Run
36652

Run 36652

Task 3057 (Supervised Classification) SPECTF 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
0.8714
Per class
Build CPU time
0.681
Build memory
1072015184
F measure
0.8609
Per class
Kappa
0.66
KB relative information score
73.2451
Mean absolute error
0.1407
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8609
Per class
Predictive accuracy
0.8609
Prior entropy
0.8464
Recall
0.8609
Per class
Relative absolute error
0.3488
Root mean prior squared error
0.4525
Root mean squared error
0.3683
Root relative squared error
0.8138
SciMark benchmark
920.6195