Run
268169

Run 268169

Task 4598 (Supervised Classification) sylva_prior Uploaded 06-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8949
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9767
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7975
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
102772.1866
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0232
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
143950
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9766
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9768
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9768
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2004
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1522
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6332
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
885.7425
UserCPU time millis
640
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
610
Cross-validation details (10 times 10-fold Crossvalidation)