Run
191446

Run 191446

Task 2354 (Supervised Classification) meta_ensembles.arff 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
0.6298
Per class
Cross-validation details (33% Holdout set)
F measure
0.4019
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2311
Cross-validation details (33% Holdout set)
KB relative information score
4.6948
Cross-validation details (33% Holdout set)
Mean absolute error
0.2917
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2983
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5833
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.4167
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.4167
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9776
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.5401
Cross-validation details (33% Holdout set)
Root relative squared error
1.3899
Cross-validation details (33% Holdout set)
SciMark benchmark
938.9967
UserCPU time millis
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
50
Cross-validation details (33% Holdout set)