Run
191908

Run 191908

Task 3874 (Supervised Classification) ecoli 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
0.9574
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9148
Cross-validation details (10-fold Crossvalidation)
KB relative information score
307.0305
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0417
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.489
Cross-validation details (10-fold Crossvalidation)
Number of instances
336
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9583
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9842
Cross-validation details (10-fold Crossvalidation)
Recall
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0852
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4944
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2041
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4128
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.449
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)