DEVELOPMENT... OpenML
Run
65150

Run 65150

Task 1722 (Learning Curve) cmc 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
0.654 ± 0.0319
Per class
Build CPU time
0.0495
Build memory
1666307436.4
F measure
0.5246 ± 0.0528
Per class
Kappa
0.2619 ± 0.0782
KB relative information score
0.1032 ± 0.0721
Mean absolute error
0.4111 ± 0.0268
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5354 ± 0.0571
Per class
Predictive accuracy
0.539 ± 0.0481
Prior entropy
1.539 ± 0.0029
Recall
0.539 ± 0.0481
Per class
Relative absolute error
0.9543 ± 0.0622
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4517 ± 0.0124
Root relative squared error
0.9732 ± 0.0262
SciMark benchmark
1605.1864