DEVELOPMENT... OpenML
Run
165239

Run 165239

Task 1731 (Learning Curve) pendigits 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
0.9207 ± 0.0267
Per class
F measure
0.8557 ± 0.0494
Per class
Kappa
0.8414 ± 0.0536
KB relative information score
0.8504 ± 0.0502
Mean absolute error
0.0285 ± 0.0097
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8579 ± 0.0172
Per class
Predictive accuracy
0.8573 ± 0.0484
Prior entropy
3.3208 ± 0.0002
Recall
0.8573 ± 0.0484
Per class
Relative absolute error
0.1586 ± 0.0538
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.169 ± 0.0251
Root relative squared error
0.5633 ± 0.0836
SciMark benchmark
1060.8407
UserCPU time millis
6370
UserCPU time millis testing
30
UserCPU time millis training
6340