DEVELOPMENT... OpenML
Run
40557

Run 40557

Task 4448 (Supervised Classification) fri_c2_500_25 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)_I80
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
0.9125
Per class
Build CPU time
4.6812
Build memory
846985322.24
F measure
0.8906
Per class
Kappa
0.7692
KB relative information score
3832.4223
Mean absolute error
0.109
Mean prior absolute error
0.4768
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
0.8913
Per class
Predictive accuracy
0.8914
Prior entropy
0.9664
Recall
0.8914
Per class
Relative absolute error
0.2286
Root mean prior squared error
0.4882
Root mean squared error
0.3255
Root relative squared error
0.6668
SciMark benchmark
945.8914