DEVELOPMENT... OpenML
Run
165300

Run 165300

Task 1742 (Learning Curve) spambase 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
0.8397 ± 0.0408
Per class
F measure
0.8281 ± 0.0623
Per class
Kappa
0.6511 ± 0.1032
KB relative information score
0.6286 ± 0.1294
Mean absolute error
0.1739 ± 0.0607
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.846 ± 0.0235
Per class
Predictive accuracy
0.8261 ± 0.0607
Prior entropy
0.9674 ± 0.0006
Recall
0.8261 ± 0.0607
Per class
Relative absolute error
0.3641 ± 0.1269
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.417 ± 0.0699
Root relative squared error
0.8533 ± 0.1428
SciMark benchmark
1060.8407
UserCPU time millis
730
UserCPU time millis testing
10
UserCPU time millis training
720

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