DEVELOPMENT... OpenML
Run
36571

Run 36571

Task 3561 (Supervised Classification) profb 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
0.6562
Per class
Build CPU time
0.1616
Build memory
1047120326.0476
F measure
0.6229
Per class
Kappa
0.1271
KB relative information score
129.6777
Mean absolute error
0.3423
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6238
Per class
Predictive accuracy
0.6592
Prior entropy
0.9188
Recall
0.6592
Per class
Relative absolute error
0.77
Root mean prior squared error
0.4714
Root mean squared error
0.5293
Root relative squared error
1.1227
SciMark benchmark
944.2618