DEVELOPMENT... OpenML
Run
55338

Run 55338

Task 1721 (Learning Curve) mfeat-zernike Uploaded 10-11-2014 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
0.9674 ± 0.0069
Per class
Build CPU time
4.7795
Build memory
2314297281.4546
F measure
0.7792 ± 0.0254
Per class
Kappa
0.7528 ± 0.0293
KB relative information score
0.7842 ± 0.0193
Mean absolute error
0.0455 ± 0.004
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7821 ± 0.0263
Per class
Predictive accuracy
0.7775 ± 0.0264
Prior entropy
3.3219
Recall
0.7775 ± 0.0264
Per class
Relative absolute error
0.2527 ± 0.0224
Root mean prior squared error
0.3
Root mean squared error
0.1901 ± 0.0092
Root relative squared error
0.6337 ± 0.0305
SciMark benchmark
1631.6534