DEVELOPMENT... OpenML
Run
36782

Run 36782

Task 3837 (Supervised Classification) hayes-roth 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
0.9292
Per class
Build CPU time
0.0208
Build memory
1585937713.0303
F measure
0.7779
Per class
Kappa
0.5281
KB relative information score
73.8722
Mean absolute error
0.2002
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7779
Per class
Predictive accuracy
0.7803
Prior entropy
0.9635
Recall
0.7803
Per class
Relative absolute error
0.4218
Root mean prior squared error
0.4869
Root mean squared error
0.4277
Root relative squared error
0.8783
SciMark benchmark
931.9798