DEVELOPMENT... OpenML
Run
65161

Run 65161

Task 1728 (Learning Curve) credit-approval 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
0.9247 ± 0.0388
Per class
Build CPU time
0.107
Build memory
3521696822.9
F measure
0.8581 ± 0.0531
Per class
Kappa
0.7132 ± 0.1085
KB relative information score
0.7093 ± 0.1053
Mean absolute error
0.143 ± 0.0513
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8585 ± 0.0524
Per class
Predictive accuracy
0.858 ± 0.0524
Prior entropy
0.9912 ± 0.0022
Recall
0.858 ± 0.0524
Per class
Relative absolute error
0.2895 ± 0.1041
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3624 ± 0.0643
Root relative squared error
0.7293 ± 0.13
SciMark benchmark
1613.7772