DEVELOPMENT... OpenML
Run
39255

Run 39255

Task 4456 (Supervised Classification) fri_c0_500_50 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
0.9168
Per class
Build CPU time
5.0036
Build memory
982371696.56
F measure
0.8647
Per class
Kappa
0.7292
KB relative information score
3635.7766
Mean absolute error
0.1365
Mean prior absolute error
0.4997
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8651
Per class
Predictive accuracy
0.8648
Prior entropy
0.9996
Recall
0.8648
Per class
Relative absolute error
0.2731
Root mean prior squared error
0.4999
Root mean squared error
0.3593
Root relative squared error
0.7188
SciMark benchmark
943.8925