DEVELOPMENT... OpenML
Run
35932

Run 35932

Task 3701 (Supervised Classification) sleuth_case1102 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)_I10
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
0.4298
Per class
Build CPU time
0.005
Build memory
201450642.8235
F measure
0.4426
Per class
Kappa
-0.1254
KB relative information score
-3.8589
Mean absolute error
0.5447
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4449
Per class
Predictive accuracy
0.4412
Prior entropy
0.9911
Recall
0.4412
Per class
Relative absolute error
1.1038
Root mean prior squared error
0.4965
Root mean squared error
0.6599
Root relative squared error
1.329
SciMark benchmark
940.9202