DEVELOPMENT... OpenML
Run
51055

Run 51055

Task 2097 (Learning Curve) satimage Uploaded 06-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_J48(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.MultiBoostAB_J48(2)_C3
weka.MultiBoostAB_J48(2)_P100
weka.MultiBoostAB_J48(2)_S1
weka.MultiBoostAB_J48(2)_I10
weka.MultiBoostAB_J48(2)_Wweka.classifiers.trees.J48

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
0.9734 ± 0.0048
Per class
Build CPU time
0.6622
Build memory
503056022.9143
F measure
0.904 ± 0.0103
Per class
Kappa
0.8839 ± 0.013
KB relative information score
0.8886 ± 0.0103
Mean absolute error
0.0313 ± 0.003
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.904 ± 0.011
Per class
Predictive accuracy
0.9062 ± 0.0106
Prior entropy
2.4834 ± 0.0009
Recall
0.9062 ± 0.0106
Per class
Relative absolute error
0.1159 ± 0.0113
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1697 ± 0.0082
Root relative squared error
0.4618 ± 0.0223
SciMark benchmark
1633.1623