DEVELOPMENT... OpenML
Run
37396

Run 37396

Task 3670 (Supervised Classification) fri_c4_500_50 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
0.9329
Per class
Build CPU time
3.0064
Build memory
44795864.8
F measure
0.856
Per class
Kappa
0.7111
KB relative information score
357.6896
Mean absolute error
0.1412
Mean prior absolute error
0.4984
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
0.856
Per class
Predictive accuracy
0.856
Prior entropy
0.9978
Recall
0.856
Per class
Relative absolute error
0.2833
Root mean prior squared error
0.4992
Root mean squared error
0.3639
Root relative squared error
0.7289
SciMark benchmark
941.9633