DEVELOPMENT... OpenML
Run
165161

Run 165161

Task 1720 (Learning Curve) car 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
0.9014 ± 0.0228
Per class
F measure
0.8903 ± 0.0213
Per class
Kappa
0.7652 ± 0.0497
KB relative information score
0.7142 ± 0.0486
Mean absolute error
0.053 ± 0.0113
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8915 ± 0.0204
Per class
Predictive accuracy
0.8941 ± 0.0227
Prior entropy
1.2058 ± 0.0093
Recall
0.8941 ± 0.0227
Per class
Relative absolute error
0.2312 ± 0.0499
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.2301 ± 0.0261
Root relative squared error
0.6806 ± 0.0782
SciMark benchmark
1060.8407
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20