Run
281538

Run 281538

Task 265 (Supervised Classification) dermatology Uploaded 08-03-2015 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)_E0.01
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
0.9807
Per class
Cross-validation details (33% Holdout set)
F measure
0.9673
Per class
Cross-validation details (33% Holdout set)
Kappa
0.958
Cross-validation details (33% Holdout set)
KB relative information score
113.8559
Cross-validation details (33% Holdout set)
Mean absolute error
0.0111
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2653
Cross-validation details (33% Holdout set)
Number of instances
120
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9687
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9667
Cross-validation details (33% Holdout set)
Prior entropy
2.4378
Cross-validation details (33% Holdout set)
Recall
0.9667
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0419
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3633
Cross-validation details (33% Holdout set)
Root mean squared error
0.1054
Cross-validation details (33% Holdout set)
Root relative squared error
0.2901
Cross-validation details (33% Holdout set)
SciMark benchmark
1327.035
UserCPU time millis
100
Cross-validation details (33% Holdout set)
UserCPU time millis training
100
Cross-validation details (33% Holdout set)