DEVELOPMENT... OpenML
Run
65164

Run 65164

Task 1730 (Learning Curve) credit-g Uploaded 20-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_JRip(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.MultiBoostAB_JRip(2)_C3
weka.MultiBoostAB_JRip(2)_P100
weka.MultiBoostAB_JRip(2)_S1
weka.MultiBoostAB_JRip(2)_I10
weka.MultiBoostAB_JRip(2)_Wweka.classifiers.rules.JRip

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
0.7464 ± 0.0557
Per class
Build CPU time
0.1951
Build memory
4147074017.4222
F measure
0.718 ± 0.0322
Per class
Kappa
0.3021 ± 0.081
KB relative information score
0.3165 ± 0.0728
Mean absolute error
0.2686 ± 0.0264
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7201 ± 0.0432
Per class
Predictive accuracy
0.739 ± 0.0311
Prior entropy
0.8813
Recall
0.739 ± 0.0311
Per class
Relative absolute error
0.6394 ± 0.0629
Root mean prior squared error
0.4583
Root mean squared error
0.4814 ± 0.0282
Root relative squared error
1.0505 ± 0.0615
SciMark benchmark
1613.7772