DEVELOPMENT... OpenML
Run
39550

Run 39550

Task 3759 (Supervised Classification) fri_c3_500_25 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)_I40
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
0.936
Per class
Build CPU time
2.6165
Build memory
1027411053.6
F measure
0.898
Per class
Kappa
0.7929
KB relative information score
394.4655
Mean absolute error
0.1037
Mean prior absolute error
0.4928
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.898
Per class
Predictive accuracy
0.898
Prior entropy
0.9897
Recall
0.898
Per class
Relative absolute error
0.2105
Root mean prior squared error
0.4964
Root mean squared error
0.3122
Root relative squared error
0.629
SciMark benchmark
942.4851