Run
192291

Run 192291

Task 4467 (Supervised Classification) analcatdata_negotiation 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
0.584
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6371
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1534
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-1.6014
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3761
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4075
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
920
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
0.6593
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6239
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8651
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6239
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9229
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4503
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.6133
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.3619
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
908.2231
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)