DEVELOPMENT... OpenML
Run
37913

Run 37913

Task 3756 (Supervised Classification) visualizing_hamster 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)_I20
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
0.6424
Per class
Build CPU time
0.0458
Build memory
275651892.1644
F measure
0.6231
Per class
Kappa
0.2393
KB relative information score
18.7213
Mean absolute error
0.3661
Mean prior absolute error
0.4955
Number of instances
73
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6279
Per class
Predictive accuracy
0.6301
Prior entropy
0.9937
Recall
0.6301
Per class
Relative absolute error
0.7389
Root mean prior squared error
0.4977
Root mean squared error
0.5965
Root relative squared error
1.1984
SciMark benchmark
928.3063