DEVELOPMENT... OpenML
Run
37241

Run 37241

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.708
Per class
Build CPU time
0.2381
Build memory
82238315.7073
F measure
0.6767
Per class
Kappa
0.3451
KB relative information score
120.5626
Mean absolute error
0.3334
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6764
Per class
Predictive accuracy
0.6775
Prior entropy
0.992
Recall
0.6775
Per class
Relative absolute error
0.6743
Root mean prior squared error
0.4972
Root mean squared error
0.5377
Root relative squared error
1.0814
SciMark benchmark
938.4414