DEVELOPMENT... OpenML
Run
165209

Run 165209

Task 1727 (Learning Curve) optdigits 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
0.9753 ± 0.0078
Per class
F measure
0.9556 ± 0.014
Per class
Kappa
0.9506 ± 0.0155
KB relative information score
0.9535 ± 0.0146
Mean absolute error
0.0089 ± 0.0028
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9559 ± 0.0117
Per class
Predictive accuracy
0.9555 ± 0.014
Prior entropy
3.3218 ± 0.0001
Recall
0.9555 ± 0.014
Per class
Relative absolute error
0.0494 ± 0.0155
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0943 ± 0.0143
Root relative squared error
0.3144 ± 0.0477
SciMark benchmark
1060.8407
UserCPU time millis
1680
UserCPU time millis testing
20
UserCPU time millis training
1660