DEVELOPMENT... OpenML
Run
38651

Run 38651

Task 4618 (Supervised Classification) kc2 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
0.7747
Per class
Build CPU time
1.3953
Build memory
1324158327.3594
F measure
0.8179
Per class
Kappa
0.4173
KB relative information score
2005.5828
Mean absolute error
0.1721
Mean prior absolute error
0.3266
Number of instances
5220
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.814
Per class
Predictive accuracy
0.8272
Prior entropy
0.734
Recall
0.8272
Per class
Relative absolute error
0.5269
Root mean prior squared error
0.4037
Root mean squared error
0.4016
Root relative squared error
0.9949
SciMark benchmark
909.9339