DEVELOPMENT... OpenML
Run
36960

Run 36960

Task 4626 (Supervised Classification) jEdit_4.0_4.2 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)_I20
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
0.8057
Per class
Build CPU time
0.1851
Build memory
987959066.4847
F measure
0.7573
Per class
Kappa
0.5149
KB relative information score
1388.3098
Mean absolute error
0.2472
Mean prior absolute error
0.4998
Number of instances
2740
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7581
Per class
Predictive accuracy
0.7573
Prior entropy
0.9997
Recall
0.7573
Per class
Relative absolute error
0.4946
Root mean prior squared error
0.4999
Root mean squared error
0.4753
Root relative squared error
0.9509
SciMark benchmark
942.6202