DEVELOPMENT... OpenML
Run
165129

Run 165129

Task 1714 (Learning Curve) breast-w Uploaded 17-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.LibLINEAR(1)Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin (2008). LIBLINEAR - A Library for Large Linear Classification. URL http://www.csie.ntu.edu.tw/~cjlin/liblinear/.
weka.LibLINEAR(1)_S1
weka.LibLINEAR(1)_C1.0
weka.LibLINEAR(1)_E0.01
weka.LibLINEAR(1)_B1.0

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.

22 Evaluation measures

Area under ROC curve
0.9641 ± 0.0219
Per class
F measure
0.9671 ± 0.0212
Per class
Kappa
0.9272 ± 0.0466
KB relative information score
0.924 ± 0.0493
Mean absolute error
0.0329 ± 0.0213
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9671 ± 0.0209
Per class
Predictive accuracy
0.9671 ± 0.0213
Prior entropy
0.9293 ± 0.0043
Recall
0.9671 ± 0.0213
Per class
Relative absolute error
0.0728 ± 0.0472
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1814 ± 0.0752
Root relative squared error
0.3816 ± 0.1581
SciMark benchmark
1060.8407
UserCPU time millis
20
UserCPU time millis training
20