Run
268094

Run 268094

Task 4438 (Supervised Classification) fri_c2_500_10 Uploaded 06-03-2015 by Jan van Rijn
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
0.7103
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.718
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4227
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2102.0896
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2812
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4897
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5000
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
0.7176
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7188
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9851
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7188
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5743
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4948
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5303
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0717
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1358.4523
UserCPU time millis
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10 times 10-fold Crossvalidation)