DEVELOPMENT... OpenML
Run
36802

Run 36802

Task 4352 (Supervised Classification) rabe_266 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
0.9763
Per class
Build CPU time
0.0079
Build memory
663968991.92
F measure
0.9434
Per class
Kappa
0.8865
KB relative information score
985.4177
Mean absolute error
0.0966
Mean prior absolute error
0.4988
Number of instances
1200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9437
Per class
Predictive accuracy
0.9433
Prior entropy
0.9983
Recall
0.9433
Per class
Relative absolute error
0.1936
Root mean prior squared error
0.4994
Root mean squared error
0.218
Root relative squared error
0.4366
SciMark benchmark
944.2629