Run
192064

Run 192064

Task 4229 (Supervised Classification) fbis.wc Uploaded 26-02-2015 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)_E0.001
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
0.904
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8274
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.806
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
19753.0044
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0203
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1047
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
24630
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.828
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8277
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
3.5848
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8277
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1935
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2288
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1424
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6223
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
942.9708
UserCPU time millis
1670
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
1640
Cross-validation details (10 times 10-fold Crossvalidation)