DEVELOPMENT... OpenML
Run
165439

Run 165439

Task 2094 (Learning Curve) adult 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
0.4991 ± 0.0025
Per class
F measure
0.582 ± 0.0063
Per class
Kappa
-0.0014 ± 0.0024
KB relative information score
-0.3862 ± 0.8331
Mean absolute error
0.4477 ± 0.2691
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.6354 ± 0.0529
Per class
Predictive accuracy
0.5523 ± 0.2691
Prior entropy
0.7938 ± 0.0002
Recall
0.5523 ± 0.2691
Per class
Relative absolute error
1.2298 ± 0.7392
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.6691 ± 0.1977
Root relative squared error
1.5683 ± 0.4634
SciMark benchmark
1060.8407
UserCPU time millis
18890
UserCPU time millis testing
130
UserCPU time millis training
18760