DEVELOPMENT... OpenML
Run
39356

Run 39356

Task 3721 (Supervised Classification) bolts 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
0.9368
Per class
Build CPU time
0.004
Build memory
1459843232
F measure
0.9243
Per class
Kappa
0.8324
KB relative information score
30.6325
Mean absolute error
0.1144
Mean prior absolute error
0.4571
Number of instances
40
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9249
Per class
Predictive accuracy
0.925
Prior entropy
0.9403
Recall
0.925
Per class
Relative absolute error
0.2502
Root mean prior squared error
0.477
Root mean squared error
0.2252
Root relative squared error
0.4721
SciMark benchmark
940.0668