DEVELOPMENT... OpenML
Run
37709

Run 37709

Task 3722 (Supervised Classification) hungarian 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
0.8706
Per class
Build CPU time
0.1596
Build memory
790416454.2313
F measure
0.8078
Per class
Kappa
0.58
KB relative information score
169.221
Mean absolute error
0.189
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8073
Per class
Predictive accuracy
0.8095
Prior entropy
0.9439
Recall
0.8095
Per class
Relative absolute error
0.4097
Root mean prior squared error
0.4802
Root mean squared error
0.4212
Root relative squared error
0.8771
SciMark benchmark
941.4059