DEVELOPMENT... OpenML
Run
36873

Run 36873

Task 3504 (Supervised Classification) webdata_wXa 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
0.8644
Per class
Build CPU time
893.904
Build memory
462809385.1982
F measure
0.8175
Per class
Kappa
0.4787
KB relative information score
17113.1277
Mean absolute error
0.1748
Mean prior absolute error
0.3648
Number of instances
36974
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8169
Per class
Predictive accuracy
0.8275
Prior entropy
0.7951
Recall
0.8275
Per class
Relative absolute error
0.4792
Root mean prior squared error
0.4271
Root mean squared error
0.4008
Root relative squared error
0.9386
SciMark benchmark
944.0386