DEVELOPMENT... OpenML
Run
165009

Run 165009

Task 1702 (Learning Curve) kr-vs-kp 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
0.9708 ± 0.0092
Per class
F measure
0.9706 ± 0.0091
Per class
Kappa
0.9411 ± 0.0182
KB relative information score
0.941 ± 0.0183
Mean absolute error
0.0294 ± 0.0091
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9707 ± 0.0091
Per class
Predictive accuracy
0.9706 ± 0.0091
Prior entropy
0.9986 ± 0.0002
Recall
0.9706 ± 0.0091
Per class
Relative absolute error
0.0589 ± 0.0182
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1715 ± 0.0251
Root relative squared error
0.3433 ± 0.0503
SciMark benchmark
1060.8407
UserCPU time millis
120
UserCPU time millis testing
10
UserCPU time millis training
110