Run
192347

Run 192347

Task 4517 (Supervised Classification) arsenic-female-bladder Uploaded 26-02-2015 by Joaquin Vanschoren
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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)_E0.001
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
0.5015
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7336
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0025
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-2514.8412
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2852
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
5590
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
0.7554
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7148
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7148
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.1583
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.534
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.5249
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
942.9708
UserCPU time millis
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10 times 10-fold Crossvalidation)