DEVELOPMENT... OpenML
Run
165276

Run 165276

Task 1736 (Learning Curve) diabetes 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
0.5156 ± 0.0333
Per class
F measure
0.5712 ± 0.0677
Per class
Kappa
0.035 ± 0.0681
KB relative information score
0.1053 ± 0.2453
Mean absolute error
0.3906 ± 0.1069
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.5647 ± 0.1766
Per class
Predictive accuracy
0.6094 ± 0.1069
Prior entropy
0.9331 ± 0.0046
Recall
0.6094 ± 0.1069
Per class
Relative absolute error
0.8595 ± 0.2355
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.625 ± 0.0785
Root relative squared error
1.3113 ± 0.1653
SciMark benchmark
1060.8407
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70