DEVELOPMENT... OpenML
Run
40406

Run 40406

Task 4410 (Supervised Classification) autoHorse 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
0.9884
Per class
Build CPU time
0.1239
Build memory
928143848.3941
F measure
0.9677
Per class
Kappa
0.9328
KB relative information score
1798.725
Mean absolute error
0.0649
Mean prior absolute error
0.4821
Number of instances
2050
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.968
Per class
Predictive accuracy
0.9678
Prior entropy
0.9742
Recall
0.9678
Per class
Relative absolute error
0.1345
Root mean prior squared error
0.4909
Root mean squared error
0.1689
Root relative squared error
0.3441
SciMark benchmark
941.4198