DEVELOPMENT... OpenML
Run
65045

Run 65045

Task 2097 (Learning Curve) satimage Uploaded 19-11-2014 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
0.983 ± 0.0031
Per class
Build CPU time
7.4809
Build memory
3310215581.2571
F measure
0.8991 ± 0.0131
Per class
Kappa
0.8775 ± 0.0161
KB relative information score
0.8815 ± 0.0146
Mean absolute error
0.0335 ± 0.0041
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
0.8984 ± 0.0134
Per class
Predictive accuracy
0.9009 ± 0.0131
Prior entropy
2.4834 ± 0.0009
Recall
0.9009 ± 0.0131
Per class
Relative absolute error
0.1241 ± 0.0153
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1736 ± 0.012
Root relative squared error
0.4724 ± 0.0325
SciMark benchmark
1605.1864